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

Description2017.12.31.기준 대구광역시 주민등록인구 현황
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3077757&dataSetDetailId=30777571949aaa3005b4&provdMethod=FILE

Alerts

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

Reproduction

Analysis started2023-09-29 01:02:06.732164
Analysis finished2023-09-29 01:02:07.383096
Duration0.65 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
2023-09-29T01:02:08.322288image/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%
2023-09-29T01:02:10.064150image/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%
Mean24507.238
Minimum96
Maximum47051
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:02:11.279339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum96
5-th percentile614
Q115261
median24824
Q335928
95-th percentile44625
Maximum47051
Range46955
Interquartile range (IQR)20667

Descriptive statistics

Standard deviation14000.435
Coefficient of variation (CV)0.57127756
Kurtosis-0.99247559
Mean24507.238
Median Absolute Deviation (MAD)11044
Skewness-0.27962277
Sum2475231
Variance1.9601218 × 108
MonotonicityNot monotonic
2023-09-29T01:02:12.055097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15444 1
 
1.0%
27136 1
 
1.0%
16818 1
 
1.0%
16248 1
 
1.0%
13751 1
 
1.0%
15261 1
 
1.0%
21255 1
 
1.0%
22850 1
 
1.0%
23041 1
 
1.0%
22198 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
96 1
1.0%
174 1
1.0%
224 1
1.0%
340 1
1.0%
469 1
1.0%
614 1
1.0%
615 1
1.0%
745 1
1.0%
1135 1
1.0%
1330 1
1.0%
ValueCountFrequency (%)
47051 1
1.0%
46240 1
1.0%
45768 1
1.0%
45731 1
1.0%
45052 1
1.0%
44625 1
1.0%
44571 1
1.0%
44122 1
1.0%
44009 1
1.0%
43473 1
1.0%

총계 남
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12156.574
Minimum23
Maximum23349
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:02:12.693545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23
5-th percentile134
Q16464
median12992
Q318477
95-th percentile22074
Maximum23349
Range23326
Interquartile range (IQR)12013

Descriptive statistics

Standard deviation7275.3124
Coefficient of variation (CV)0.59846732
Kurtosis-1.1443942
Mean12156.574
Median Absolute Deviation (MAD)5706
Skewness-0.34147389
Sum1227814
Variance52930171
MonotonicityNot monotonic
2023-09-29T01:02:13.318578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22202 2
 
2.0%
7011 2
 
2.0%
18015 2
 
2.0%
8004 1
 
1.0%
13720 1
 
1.0%
8283 1
 
1.0%
7184 1
 
1.0%
6072 1
 
1.0%
9592 1
 
1.0%
10492 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
23 1
1.0%
32 1
1.0%
48 1
1.0%
64 1
1.0%
93 1
1.0%
134 1
1.0%
137 1
1.0%
160 1
1.0%
248 1
1.0%
286 1
1.0%
ValueCountFrequency (%)
23349 1
1.0%
22667 1
1.0%
22575 1
1.0%
22202 2
2.0%
22074 1
1.0%
21731 1
1.0%
21477 1
1.0%
21427 1
1.0%
20936 1
1.0%
20923 1
1.0%

총계 여
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12350.663
Minimum73
Maximum23702
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:02:14.241183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum73
5-th percentile478
Q18250
median12297
Q317873
95-th percentile22850
Maximum23702
Range23629
Interquartile range (IQR)9623

Descriptive statistics

Standard deviation6811.4233
Coefficient of variation (CV)0.55150263
Kurtosis-0.82656978
Mean12350.663
Median Absolute Deviation (MAD)4638
Skewness-0.18451562
Sum1247417
Variance46395488
MonotonicityNot monotonic
2023-09-29T01:02:16.451694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7440 1
 
1.0%
14445 1
 
1.0%
9634 1
 
1.0%
9237 1
 
1.0%
7679 1
 
1.0%
8250 1
 
1.0%
11663 1
 
1.0%
12358 1
 
1.0%
12297 1
 
1.0%
11670 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
73 1
1.0%
142 1
1.0%
176 1
1.0%
276 1
1.0%
376 1
1.0%
478 1
1.0%
480 1
1.0%
585 1
1.0%
887 1
1.0%
1044 1
1.0%
ValueCountFrequency (%)
23702 1
1.0%
23573 1
1.0%
23529 1
1.0%
23198 1
1.0%
23193 1
1.0%
22850 1
1.0%
22645 1
1.0%
22550 1
1.0%
22497 1
1.0%
22278 1
1.0%

중구 계
Real number (ℝ)

Distinct96
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean782.0396
Minimum7
Maximum1352
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:02:18.087914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile41
Q1495
median831
Q31163
95-th percentile1304
Maximum1352
Range1345
Interquartile range (IQR)668

Descriptive statistics

Standard deviation410.927
Coefficient of variation (CV)0.52545548
Kurtosis-1.0244451
Mean782.0396
Median Absolute Deviation (MAD)336
Skewness-0.43326256
Sum78986
Variance168861
MonotonicityNot monotonic
2023-09-29T01:02:19.174402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1207 3
 
3.0%
539 2
 
2.0%
20 2
 
2.0%
1233 2
 
2.0%
819 1
 
1.0%
794 1
 
1.0%
805 1
 
1.0%
649 1
 
1.0%
708 1
 
1.0%
932 1
 
1.0%
Other values (86) 86
85.1%
ValueCountFrequency (%)
7 1
1.0%
10 1
1.0%
20 2
2.0%
24 1
1.0%
41 1
1.0%
43 1
1.0%
56 1
1.0%
81 1
1.0%
86 1
1.0%
119 1
1.0%
ValueCountFrequency (%)
1352 1
1.0%
1351 1
1.0%
1320 1
1.0%
1315 1
1.0%
1311 1
1.0%
1304 1
1.0%
1286 1
1.0%
1283 1
1.0%
1258 1
1.0%
1246 1
1.0%

중구 남
Real number (ℝ)

Distinct90
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean380.14851
Minimum1
Maximum690
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:02:20.366019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q1237
median389
Q3570
95-th percentile648
Maximum690
Range689
Interquartile range (IQR)333

Descriptive statistics

Standard deviation214.12171
Coefficient of variation (CV)0.56325805
Kurtosis-1.0975356
Mean380.14851
Median Absolute Deviation (MAD)174
Skewness-0.37195336
Sum38395
Variance45848.108
MonotonicityNot monotonic
2023-09-29T01:02:21.340067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
563 3
 
3.0%
283 2
 
2.0%
273 2
 
2.0%
509 2
 
2.0%
648 2
 
2.0%
16 2
 
2.0%
11 2
 
2.0%
615 2
 
2.0%
550 2
 
2.0%
1 2
 
2.0%
Other values (80) 80
79.2%
ValueCountFrequency (%)
1 2
2.0%
3 1
1.0%
5 1
1.0%
6 1
1.0%
10 1
1.0%
11 2
2.0%
16 2
2.0%
34 1
1.0%
40 1
1.0%
42 1
1.0%
ValueCountFrequency (%)
690 1
1.0%
670 1
1.0%
665 1
1.0%
650 1
1.0%
649 1
1.0%
648 2
2.0%
647 1
1.0%
641 1
1.0%
634 1
1.0%
632 1
1.0%

중구 여
Real number (ℝ)

Distinct92
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean401.89109
Minimum6
Maximum703
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:02:22.139229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile31
Q1246
median454
Q3579
95-th percentile663
Maximum703
Range697
Interquartile range (IQR)333

Descriptive statistics

Standard deviation201.13005
Coefficient of variation (CV)0.5004591
Kurtosis-0.95597326
Mean401.89109
Median Absolute Deviation (MAD)150
Skewness-0.44933109
Sum40591
Variance40453.298
MonotonicityNot monotonic
2023-09-29T01:02:23.089309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
588 2
 
2.0%
597 2
 
2.0%
530 2
 
2.0%
489 2
 
2.0%
470 2
 
2.0%
621 2
 
2.0%
385 2
 
2.0%
325 2
 
2.0%
273 2
 
2.0%
702 1
 
1.0%
Other values (82) 82
81.2%
ValueCountFrequency (%)
6 1
1.0%
7 1
1.0%
14 1
1.0%
15 1
1.0%
23 1
1.0%
31 1
1.0%
32 1
1.0%
45 1
1.0%
65 1
1.0%
70 1
1.0%
ValueCountFrequency (%)
703 1
1.0%
702 1
1.0%
688 1
1.0%
680 1
1.0%
668 1
1.0%
663 1
1.0%
657 1
1.0%
653 1
1.0%
635 1
1.0%
634 1
1.0%

동구 계
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3459.198
Minimum17
Maximum6537
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:02:23.930058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile87
Q12422
median3689
Q35166
95-th percentile5809
Maximum6537
Range6520
Interquartile range (IQR)2744

Descriptive statistics

Standard deviation1875.8905
Coefficient of variation (CV)0.54229057
Kurtosis-0.86988397
Mean3459.198
Median Absolute Deviation (MAD)1310
Skewness-0.39782735
Sum349379
Variance3518965
MonotonicityNot monotonic
2023-09-29T01:02:24.617970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2952 2
 
2.0%
2379 1
 
1.0%
4365 1
 
1.0%
3274 1
 
1.0%
2789 1
 
1.0%
2422 1
 
1.0%
2630 1
 
1.0%
3637 1
 
1.0%
3919 1
 
1.0%
3994 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
17 1
1.0%
34 1
1.0%
41 1
1.0%
58 1
1.0%
68 1
1.0%
87 1
1.0%
104 1
1.0%
135 1
1.0%
188 1
1.0%
201 1
1.0%
ValueCountFrequency (%)
6537 1
1.0%
6431 1
1.0%
6382 1
1.0%
6084 1
1.0%
5874 1
1.0%
5809 1
1.0%
5802 1
1.0%
5740 1
1.0%
5735 1
1.0%
5718 1
1.0%

동구 남
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1715.8515
Minimum4
Maximum3104
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:02:25.415614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile17
Q11145
median1796
Q32581
95-th percentile2959
Maximum3104
Range3100
Interquartile range (IQR)1436

Descriptive statistics

Standard deviation976.41312
Coefficient of variation (CV)0.56905457
Kurtosis-1.0205256
Mean1715.8515
Median Absolute Deviation (MAD)766
Skewness-0.44768766
Sum173301
Variance953382.59
MonotonicityNot monotonic
2023-09-29T01:02:26.565282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 2
 
2.0%
2959 2
 
2.0%
1244 1
 
1.0%
2012 1
 
1.0%
1224 1
 
1.0%
1053 1
 
1.0%
1191 1
 
1.0%
1654 1
 
1.0%
1796 1
 
1.0%
1859 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
4 1
1.0%
9 1
1.0%
11 1
1.0%
12 2
2.0%
17 1
1.0%
22 1
1.0%
26 1
1.0%
36 1
1.0%
39 1
1.0%
82 1
1.0%
ValueCountFrequency (%)
3104 1
1.0%
3066 1
1.0%
2993 1
1.0%
2980 1
1.0%
2959 2
2.0%
2953 1
1.0%
2935 1
1.0%
2912 1
1.0%
2902 1
1.0%
2881 1
1.0%

동구 여
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1743.3465
Minimum13
Maximum3433
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:02:27.232028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile70
Q11273
median1789
Q32545
95-th percentile3036
Maximum3433
Range3420
Interquartile range (IQR)1272

Descriptive statistics

Standard deviation917.30165
Coefficient of variation (CV)0.52617287
Kurtosis-0.70798616
Mean1743.3465
Median Absolute Deviation (MAD)637
Skewness-0.28599277
Sum176078
Variance841442.31
MonotonicityNot monotonic
2023-09-29T01:02:28.422630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1135 1
 
1.0%
2353 1
 
1.0%
1706 1
 
1.0%
1565 1
 
1.0%
1369 1
 
1.0%
1439 1
 
1.0%
1983 1
 
1.0%
2123 1
 
1.0%
2135 1
 
1.0%
1939 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
13 1
1.0%
25 1
1.0%
30 1
1.0%
46 1
1.0%
56 1
1.0%
70 1
1.0%
82 1
1.0%
109 1
1.0%
152 1
1.0%
162 1
1.0%
ValueCountFrequency (%)
3433 1
1.0%
3402 1
1.0%
3365 1
1.0%
3125 1
1.0%
3051 1
1.0%
3036 1
1.0%
2959 1
1.0%
2939 1
1.0%
2937 1
1.0%
2921 1
1.0%

서구 계
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1900.9109
Minimum10
Maximum4424
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:02:29.290903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile61
Q11017
median2025
Q32787
95-th percentile3822
Maximum4424
Range4414
Interquartile range (IQR)1770

Descriptive statistics

Standard deviation1187.325
Coefficient of variation (CV)0.62460847
Kurtosis-0.89436684
Mean1900.9109
Median Absolute Deviation (MAD)945
Skewness0.09592336
Sum191992
Variance1409740.8
MonotonicityNot monotonic
2023-09-29T01:02:30.106101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2143 2
 
2.0%
798 1
 
1.0%
1305 1
 
1.0%
1984 1
 
1.0%
1742 1
 
1.0%
1722 1
 
1.0%
1362 1
 
1.0%
1527 1
 
1.0%
2201 1
 
1.0%
2455 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
10 1
1.0%
13 1
1.0%
17 1
1.0%
29 1
1.0%
34 1
1.0%
61 1
1.0%
76 1
1.0%
89 1
1.0%
90 1
1.0%
113 1
1.0%
ValueCountFrequency (%)
4424 1
1.0%
4353 1
1.0%
4187 1
1.0%
4110 1
1.0%
3835 1
1.0%
3822 1
1.0%
3666 1
1.0%
3615 1
1.0%
3564 1
1.0%
3521 1
1.0%

서구 남
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean958.36634
Minimum2
Maximum2162
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:02:31.073493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile9
Q1516
median1085
Q31443
95-th percentile1893
Maximum2162
Range2160
Interquartile range (IQR)927

Descriptive statistics

Standard deviation622.59514
Coefficient of variation (CV)0.64964213
Kurtosis-1.1468719
Mean958.36634
Median Absolute Deviation (MAD)532
Skewness-0.0224708
Sum96795
Variance387624.71
MonotonicityNot monotonic
2023-09-29T01:02:32.126699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
516 2
 
2.0%
6 2
 
2.0%
1369 1
 
1.0%
751 1
 
1.0%
733 1
 
1.0%
648 1
 
1.0%
671 1
 
1.0%
986 1
 
1.0%
1135 1
 
1.0%
1130 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
2 1
1.0%
3 1
1.0%
4 1
1.0%
6 2
2.0%
9 1
1.0%
11 1
1.0%
17 1
1.0%
19 1
1.0%
21 1
1.0%
32 1
1.0%
ValueCountFrequency (%)
2162 1
1.0%
2084 1
1.0%
2062 1
1.0%
2006 1
1.0%
1966 1
1.0%
1893 1
1.0%
1862 1
1.0%
1854 1
1.0%
1819 1
1.0%
1818 1
1.0%

서구 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean942.54455
Minimum7
Maximum2269
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:02:33.652193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile50
Q1507
median940
Q31269
95-th percentile1885
Maximum2269
Range2262
Interquartile range (IQR)762

Descriptive statistics

Standard deviation578.21097
Coefficient of variation (CV)0.61345744
Kurtosis-0.60431497
Mean942.54455
Median Absolute Deviation (MAD)410
Skewness0.27325549
Sum95197
Variance334327.93
MonotonicityNot monotonic
2023-09-29T01:02:34.770855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
530 2
 
2.0%
376 1
 
1.0%
1753 1
 
1.0%
1124 1
 
1.0%
991 1
 
1.0%
989 1
 
1.0%
714 1
 
1.0%
856 1
 
1.0%
1215 1
 
1.0%
1320 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
7 1
1.0%
9 1
1.0%
15 1
1.0%
23 1
1.0%
28 1
1.0%
50 1
1.0%
67 1
1.0%
68 1
1.0%
71 1
1.0%
96 1
1.0%
ValueCountFrequency (%)
2269 1
1.0%
2262 1
1.0%
2125 1
1.0%
2104 1
1.0%
1929 1
1.0%
1885 1
1.0%
1869 1
1.0%
1848 1
1.0%
1808 1
1.0%
1795 1
1.0%

남구 계
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1513.3168
Minimum16
Maximum3023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:02:35.457314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile63
Q1857
median1713
Q32166
95-th percentile2755
Maximum3023
Range3007
Interquartile range (IQR)1309

Descriptive statistics

Standard deviation847.73174
Coefficient of variation (CV)0.56018127
Kurtosis-1.0578752
Mean1513.3168
Median Absolute Deviation (MAD)715
Skewness-0.23528707
Sum152845
Variance718649.1
MonotonicityNot monotonic
2023-09-29T01:02:36.446154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
822 2
 
2.0%
16 2
 
2.0%
651 1
 
1.0%
2197 1
 
1.0%
1563 1
 
1.0%
1423 1
 
1.0%
1221 1
 
1.0%
1393 1
 
1.0%
1815 1
 
1.0%
2032 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
16 2
2.0%
28 1
1.0%
32 1
1.0%
48 1
1.0%
63 1
1.0%
66 1
1.0%
68 1
1.0%
95 1
1.0%
121 1
1.0%
199 1
1.0%
ValueCountFrequency (%)
3023 1
1.0%
2969 1
1.0%
2917 1
1.0%
2823 1
1.0%
2788 1
1.0%
2755 1
1.0%
2659 1
1.0%
2604 1
1.0%
2587 1
1.0%
2551 1
1.0%

남구 남
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean733.9901
Minimum3
Maximum1412
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:02:37.364847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile14
Q1422
median812
Q31105
95-th percentile1306
Maximum1412
Range1409
Interquartile range (IQR)683

Descriptive statistics

Standard deviation429.75422
Coefficient of variation (CV)0.58550411
Kurtosis-1.1897536
Mean733.9901
Median Absolute Deviation (MAD)348
Skewness-0.27268966
Sum74133
Variance184688.69
MonotonicityNot monotonic
2023-09-29T01:02:38.054540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 2
 
2.0%
447 2
 
2.0%
14 2
 
2.0%
333 1
 
1.0%
1306 1
 
1.0%
602 1
 
1.0%
808 1
 
1.0%
904 1
 
1.0%
893 1
 
1.0%
851 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
3 2
2.0%
4 1
1.0%
6 1
1.0%
11 1
1.0%
14 2
2.0%
17 1
1.0%
21 1
1.0%
29 1
1.0%
60 1
1.0%
68 1
1.0%
ValueCountFrequency (%)
1412 1
1.0%
1390 1
1.0%
1374 1
1.0%
1362 1
1.0%
1347 1
1.0%
1306 1
1.0%
1297 1
1.0%
1295 1
1.0%
1279 1
1.0%
1264 1
1.0%

남구 여
Real number (ℝ)

Distinct97
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean779.32673
Minimum12
Maximum1649
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:02:39.037414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile47
Q1408
median857
Q31076
95-th percentile1433
Maximum1649
Range1637
Interquartile range (IQR)668

Descriptive statistics

Standard deviation427.4959
Coefficient of variation (CV)0.54854515
Kurtosis-0.90893974
Mean779.32673
Median Absolute Deviation (MAD)372
Skewness-0.14444565
Sum78712
Variance182752.74
MonotonicityNot monotonic
2023-09-29T01:02:39.963037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
915 2
 
2.0%
1036 2
 
2.0%
49 2
 
2.0%
866 2
 
2.0%
1042 1
 
1.0%
906 1
 
1.0%
813 1
 
1.0%
727 1
 
1.0%
791 1
 
1.0%
1007 1
 
1.0%
Other values (87) 87
86.1%
ValueCountFrequency (%)
12 1
1.0%
13 1
1.0%
22 1
1.0%
29 1
1.0%
37 1
1.0%
47 1
1.0%
49 2
2.0%
81 1
1.0%
92 1
1.0%
139 1
1.0%
ValueCountFrequency (%)
1649 1
1.0%
1607 1
1.0%
1505 1
1.0%
1482 1
1.0%
1460 1
1.0%
1433 1
1.0%
1414 1
1.0%
1360 1
1.0%
1323 1
1.0%
1317 1
1.0%

북구 계
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4370.0495
Minimum11
Maximum8739
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:02:40.578746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile73
Q12344
median4466
Q36621
95-th percentile8275
Maximum8739
Range8728
Interquartile range (IQR)4277

Descriptive statistics

Standard deviation2593.2555
Coefficient of variation (CV)0.59341558
Kurtosis-1.0312988
Mean4370.0495
Median Absolute Deviation (MAD)2155
Skewness-0.22208544
Sum441375
Variance6724973.9
MonotonicityNot monotonic
2023-09-29T01:02:41.266735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4033 2
 
2.0%
6291 2
 
2.0%
2217 2
 
2.0%
2936 1
 
1.0%
3603 1
 
1.0%
3146 1
 
1.0%
2601 1
 
1.0%
2633 1
 
1.0%
2163 1
 
1.0%
2344 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
11 1
1.0%
24 1
1.0%
40 1
1.0%
45 1
1.0%
69 1
1.0%
73 1
1.0%
95 1
1.0%
97 1
1.0%
168 1
1.0%
177 1
1.0%
ValueCountFrequency (%)
8739 1
1.0%
8591 1
1.0%
8523 1
1.0%
8503 1
1.0%
8473 1
1.0%
8275 1
1.0%
8077 1
1.0%
8044 1
1.0%
7922 1
1.0%
7780 1
1.0%

북구 남
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2183.9505
Minimum3
Maximum4419
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:02:42.206156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile15
Q11016
median2321
Q33327
95-th percentile4026
Maximum4419
Range4416
Interquartile range (IQR)2311

Descriptive statistics

Standard deviation1359.2064
Coefficient of variation (CV)0.62236135
Kurtosis-1.190228
Mean2183.9505
Median Absolute Deviation (MAD)1187
Skewness-0.27240802
Sum220579
Variance1847442
MonotonicityNot monotonic
2023-09-29T01:02:43.036287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 2
 
2.0%
2097 2
 
2.0%
1459 1
 
1.0%
2321 1
 
1.0%
1092 1
 
1.0%
1059 1
 
1.0%
959 1
 
1.0%
1075 1
 
1.0%
1491 1
 
1.0%
1630 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
3 2
2.0%
7 1
1.0%
8 1
1.0%
11 1
1.0%
15 1
1.0%
16 1
1.0%
19 1
1.0%
37 1
1.0%
38 1
1.0%
58 1
1.0%
ValueCountFrequency (%)
4419 1
1.0%
4247 1
1.0%
4198 1
1.0%
4195 1
1.0%
4192 1
1.0%
4026 1
1.0%
4010 1
1.0%
3951 1
1.0%
3917 1
1.0%
3912 1
1.0%

북구 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2186.099
Minimum8
Maximum4344
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:02:43.960404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile58
Q11327
median2200
Q33113
95-th percentile4265
Maximum4344
Range4336
Interquartile range (IQR)1786

Descriptive statistics

Standard deviation1248.3681
Coefficient of variation (CV)0.57104829
Kurtosis-0.84125094
Mean2186.099
Median Absolute Deviation (MAD)880
Skewness-0.1374122
Sum220796
Variance1558422.9
MonotonicityNot monotonic
2023-09-29T01:02:44.916851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1868 2
 
2.0%
1477 1
 
1.0%
2254 1
 
1.0%
1735 1
 
1.0%
1509 1
 
1.0%
1574 1
 
1.0%
1204 1
 
1.0%
1269 1
 
1.0%
1979 1
 
1.0%
1998 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
8 1
1.0%
21 1
1.0%
33 1
1.0%
37 1
1.0%
53 1
1.0%
58 1
1.0%
76 1
1.0%
86 1
1.0%
131 1
1.0%
139 1
1.0%
ValueCountFrequency (%)
4344 1
1.0%
4331 1
1.0%
4320 1
1.0%
4305 1
1.0%
4278 1
1.0%
4265 1
1.0%
4126 1
1.0%
4057 1
1.0%
4018 1
1.0%
3868 1
1.0%

수성구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4348.6238
Minimum12
Maximum9322
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:02:45.364803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile101
Q12329
median4508
Q36567
95-th percentile8582
Maximum9322
Range9310
Interquartile range (IQR)4238

Descriptive statistics

Standard deviation2616.8238
Coefficient of variation (CV)0.60175907
Kurtosis-0.95029657
Mean4348.6238
Median Absolute Deviation (MAD)2131
Skewness-0.042837744
Sum439211
Variance6847766.7
MonotonicityNot monotonic
2023-09-29T01:02:46.320366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1921 1
 
1.0%
4530 1
 
1.0%
2904 1
 
1.0%
2716 1
 
1.0%
2298 1
 
1.0%
2526 1
 
1.0%
3550 1
 
1.0%
3633 1
 
1.0%
3704 1
 
1.0%
3681 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
12 1
1.0%
28 1
1.0%
38 1
1.0%
72 1
1.0%
90 1
1.0%
101 1
1.0%
104 1
1.0%
131 1
1.0%
246 1
1.0%
291 1
1.0%
ValueCountFrequency (%)
9322 1
1.0%
9248 1
1.0%
9197 1
1.0%
9117 1
1.0%
8851 1
1.0%
8582 1
1.0%
8425 1
1.0%
7817 1
1.0%
7767 1
1.0%
7583 1
1.0%

수성구 남
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2118.2079
Minimum4
Maximum4480
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:02:47.267760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile23
Q11008
median2191
Q33291
95-th percentile4042
Maximum4480
Range4476
Interquartile range (IQR)2283

Descriptive statistics

Standard deviation1324.0893
Coefficient of variation (CV)0.62509881
Kurtosis-1.1379676
Mean2118.2079
Median Absolute Deviation (MAD)1110
Skewness-0.11947342
Sum213939
Variance1753212.3
MonotonicityNot monotonic
2023-09-29T01:02:48.329887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
982 1
 
1.0%
2073 1
 
1.0%
1249 1
 
1.0%
1198 1
 
1.0%
1008 1
 
1.0%
1173 1
 
1.0%
1580 1
 
1.0%
1603 1
 
1.0%
1717 1
 
1.0%
1687 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
4 1
1.0%
6 1
1.0%
7 1
1.0%
11 1
1.0%
20 1
1.0%
23 1
1.0%
31 1
1.0%
32 1
1.0%
63 1
1.0%
78 1
1.0%
ValueCountFrequency (%)
4480 1
1.0%
4335 1
1.0%
4316 1
1.0%
4265 1
1.0%
4092 1
1.0%
4042 1
1.0%
3999 1
1.0%
3848 1
1.0%
3786 1
1.0%
3780 1
1.0%

수성구 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2230.4158
Minimum8
Maximum4987
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:02:49.611485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile72
Q11311
median2146
Q33160
95-th percentile4717
Maximum4987
Range4979
Interquartile range (IQR)1849

Descriptive statistics

Standard deviation1319.6818
Coefficient of variation (CV)0.59167525
Kurtosis-0.66752931
Mean2230.4158
Median Absolute Deviation (MAD)899
Skewness0.1213134
Sum225272
Variance1741560.2
MonotonicityNot monotonic
2023-09-29T01:02:51.703570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1926 2
 
2.0%
939 1
 
1.0%
2504 1
 
1.0%
1761 1
 
1.0%
1655 1
 
1.0%
1518 1
 
1.0%
1290 1
 
1.0%
1353 1
 
1.0%
1970 1
 
1.0%
2030 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
8 1
1.0%
22 1
1.0%
31 1
1.0%
61 1
1.0%
70 1
1.0%
72 1
1.0%
78 1
1.0%
100 1
1.0%
183 1
1.0%
213 1
1.0%
ValueCountFrequency (%)
4987 1
1.0%
4932 1
1.0%
4852 1
1.0%
4809 1
1.0%
4742 1
1.0%
4717 1
1.0%
4490 1
1.0%
4347 1
1.0%
4037 1
1.0%
3994 1
1.0%

달서구 계
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5723.4455
Minimum18
Maximum11652
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:02:54.100821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile88
Q12851
median6054
Q38558
95-th percentile10909
Maximum11652
Range11634
Interquartile range (IQR)5707

Descriptive statistics

Standard deviation3506.1769
Coefficient of variation (CV)0.61259899
Kurtosis-1.1403701
Mean5723.4455
Median Absolute Deviation (MAD)2735
Skewness-0.16583397
Sum578068
Variance12293277
MonotonicityNot monotonic
2023-09-29T01:02:55.060860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2595 2
 
2.0%
3477 1
 
1.0%
5796 1
 
1.0%
3046 1
 
1.0%
2967 1
 
1.0%
2989 1
 
1.0%
4192 1
 
1.0%
4444 1
 
1.0%
4553 1
 
1.0%
4581 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
18 1
1.0%
24 1
1.0%
27 1
1.0%
68 1
1.0%
73 1
1.0%
88 1
1.0%
106 1
1.0%
150 1
1.0%
214 1
1.0%
224 1
1.0%
ValueCountFrequency (%)
11652 1
1.0%
11309 1
1.0%
11305 1
1.0%
11122 1
1.0%
11023 1
1.0%
10909 1
1.0%
10858 1
1.0%
10625 1
1.0%
10598 1
1.0%
10460 1
1.0%

달서구 남
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2839.396
Minimum3
Maximum5614
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:02:56.056026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile16
Q11173
median2964
Q34354
95-th percentile5268
Maximum5614
Range5611
Interquartile range (IQR)3181

Descriptive statistics

Standard deviation1797.027
Coefficient of variation (CV)0.63289056
Kurtosis-1.2715982
Mean2839.396
Median Absolute Deviation (MAD)1557
Skewness-0.26101178
Sum286779
Variance3229305.9
MonotonicityNot monotonic
2023-09-29T01:02:57.536839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1853 1
 
1.0%
2794 1
 
1.0%
1330 1
 
1.0%
1299 1
 
1.0%
1154 1
 
1.0%
1447 1
 
1.0%
1914 1
 
1.0%
2130 1
 
1.0%
2165 1
 
1.0%
2213 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
3 1
1.0%
4 1
1.0%
7 1
1.0%
12 1
1.0%
13 1
1.0%
16 1
1.0%
27 1
1.0%
35 1
1.0%
48 1
1.0%
51 1
1.0%
ValueCountFrequency (%)
5614 1
1.0%
5542 1
1.0%
5409 1
1.0%
5377 1
1.0%
5287 1
1.0%
5268 1
1.0%
5160 1
1.0%
5156 1
1.0%
5046 1
1.0%
5013 1
1.0%

달서구 여
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2884.0495
Minimum14
Maximum6038
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:02:58.805077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile72
Q11617
median2861
Q34205
95-th percentile5622
Maximum6038
Range6024
Interquartile range (IQR)2588

Descriptive statistics

Standard deviation1730.4739
Coefficient of variation (CV)0.60001531
Kurtosis-0.95342228
Mean2884.0495
Median Absolute Deviation (MAD)1319
Skewness-0.022704394
Sum291289
Variance2994539.8
MonotonicityNot monotonic
2023-09-29T01:02:59.484097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1624 1
 
1.0%
3002 1
 
1.0%
1716 1
 
1.0%
1668 1
 
1.0%
1441 1
 
1.0%
1542 1
 
1.0%
2278 1
 
1.0%
2314 1
 
1.0%
2388 1
 
1.0%
2368 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
14 1
1.0%
17 1
1.0%
24 1
1.0%
56 1
1.0%
60 1
1.0%
72 1
1.0%
79 1
1.0%
115 1
1.0%
163 1
1.0%
176 1
1.0%
ValueCountFrequency (%)
6038 1
1.0%
5928 1
1.0%
5863 1
1.0%
5835 1
1.0%
5767 1
1.0%
5622 1
1.0%
5590 1
1.0%
5500 1
1.0%
5473 1
1.0%
5469 1
1.0%

달성군 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2409.6535
Minimum5
Maximum5071
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:02:59.993464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile44
Q11144
median2743
Q33680
95-th percentile4207
Maximum5071
Range5066
Interquartile range (IQR)2536

Descriptive statistics

Standard deviation1441.8988
Coefficient of variation (CV)0.5983843
Kurtosis-1.0513976
Mean2409.6535
Median Absolute Deviation (MAD)1153
Skewness-0.24927221
Sum243375
Variance2079072.2
MonotonicityNot monotonic
2023-09-29T01:03:00.893054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2743 1
 
1.0%
2189 1
 
1.0%
1216 1
 
1.0%
1193 1
 
1.0%
1041 1
 
1.0%
1144 1
 
1.0%
1569 1
 
1.0%
1767 1
 
1.0%
1805 1
 
1.0%
1809 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
5 1
1.0%
11 1
1.0%
18 1
1.0%
25 1
1.0%
27 1
1.0%
44 1
1.0%
49 1
1.0%
53 1
1.0%
78 1
1.0%
122 1
1.0%
ValueCountFrequency (%)
5071 1
1.0%
5013 1
1.0%
4974 1
1.0%
4776 1
1.0%
4470 1
1.0%
4207 1
1.0%
4189 1
1.0%
4135 1
1.0%
4134 1
1.0%
4067 1
1.0%

달성군 남
Real number (ℝ)

Distinct96
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1226.6634
Minimum1
Maximum2674
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:03:01.528149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9
Q1483
median1428
Q31880
95-th percentile2211
Maximum2674
Range2673
Interquartile range (IQR)1397

Descriptive statistics

Standard deviation773.22361
Coefficient of variation (CV)0.63034703
Kurtosis-1.1589253
Mean1226.6634
Median Absolute Deviation (MAD)561
Skewness-0.2805335
Sum123893
Variance597874.75
MonotonicityNot monotonic
2023-09-29T01:03:02.025787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1428 2
 
2.0%
2 2
 
2.0%
9 2
 
2.0%
1121 2
 
2.0%
2108 2
 
2.0%
1068 1
 
1.0%
553 1
 
1.0%
483 1
 
1.0%
549 1
 
1.0%
762 1
 
1.0%
Other values (86) 86
85.1%
ValueCountFrequency (%)
1 1
1.0%
2 2
2.0%
5 1
1.0%
9 2
2.0%
11 1
1.0%
12 1
1.0%
17 1
1.0%
21 1
1.0%
42 1
1.0%
44 1
1.0%
ValueCountFrequency (%)
2674 1
1.0%
2571 1
1.0%
2533 1
1.0%
2418 1
1.0%
2250 1
1.0%
2211 1
1.0%
2176 1
1.0%
2136 1
1.0%
2120 1
1.0%
2117 1
1.0%

달성군 여
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1182.9901
Minimum4
Maximum2480
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:03:02.755357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile32
Q1666
median1259
Q31773
95-th percentile2081
Maximum2480
Range2476
Interquartile range (IQR)1107

Descriptive statistics

Standard deviation674.56043
Coefficient of variation (CV)0.57021646
Kurtosis-0.91190043
Mean1182.9901
Median Absolute Deviation (MAD)553
Skewness-0.20193662
Sum119482
Variance455031.77
MonotonicityNot monotonic
2023-09-29T01:03:03.295342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1414 2
 
2.0%
1891 2
 
2.0%
1315 1
 
1.0%
1259 1
 
1.0%
706 1
 
1.0%
640 1
 
1.0%
558 1
 
1.0%
595 1
 
1.0%
807 1
 
1.0%
900 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
4 1
1.0%
9 1
1.0%
16 1
1.0%
18 1
1.0%
20 1
1.0%
32 1
1.0%
40 1
1.0%
42 1
1.0%
61 1
1.0%
101 1
1.0%
ValueCountFrequency (%)
2480 1
1.0%
2403 1
1.0%
2397 1
1.0%
2358 1
1.0%
2220 1
1.0%
2081 1
1.0%
2066 1
1.0%
2017 1
1.0%
2012 1
1.0%
2008 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
00세15444800474405392832562379124411357984223766513333182936145914771921982939347718531624274314281315
11세18625949191346583333252800138914111018516502780394386363618321804237712461131416221851977319415961598
22세198841019496906143103043040155414861006525481822424398386220031859271814071311457923592220324316121631
33세19906101459761592306286301815311487990495495799404395380619511855294515161429458623432243317015991571
44세199151011598005702832872952149914531052530522831422409381519471868310815761532462223202302296515381427
55세2222411394108306313582733302173815641149585564898445453418921432046365718681789528926642625310915931516
66세2171311113106005842922923029157414551080550530857464393408921181971388719611926520026232577298715311456
77세2157711182103955392782613006155914471002516486822447375403321111922398420541930532227352587286914821387
88세20326105249802482273209280114681333982475507824402422381019341876403221061926501126482363238412181166
99세2142911101103284752372382825143113941017521496862458404405821101948446423182146517827242454255013021248
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
9191세13302861044811665201391621131796121299217738139291782132244817612221101
9292세113524888756114518836152901971951481168371312466318321451163781761
9393세7451605854110311352610976967682147951976131311001503511549940
9494세61413448043113287177061115063144997118610432721062779531142
9595세469933762412368125634628481137731558902070881672441232
9696세340642762051558124629623286224073372116168125625520
9797세22448176206144111301349323294583738731247171129
9898세17432142103734925172151641224321286222732418216
9999세962373716174131037163131138124818414514
100100세 이상6151374788616701042282892168661749691653101237873136027918