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

Description2018.06.30.기준 주민등록인구 현황
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3077757&dataSetDetailId=30777571c0f4c81f43ee&provdMethod=FILE

Alerts

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

Reproduction

Analysis started2023-09-29 01:13:40.639084
Analysis finished2023-09-29 01:13:41.111869
Duration0.47 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
2023-09-29T01:13:41.947298image/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%
2023-09-29T01:13:44.460489image/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)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24451.653
Minimum112
Maximum47485
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:13:45.387612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum112
5-th percentile539
Q114568
median25939
Q335348
95-th percentile44346
Maximum47485
Range47373
Interquartile range (IQR)20780

Descriptive statistics

Standard deviation13881.136
Coefficient of variation (CV)0.56769721
Kurtosis-0.97073438
Mean24451.653
Median Absolute Deviation (MAD)9582
Skewness-0.28097726
Sum2469617
Variance1.9268592 × 108
MonotonicityNot monotonic
2023-09-29T01:13:46.160050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37857 2
 
2.0%
14568 1
 
1.0%
28348 1
 
1.0%
16388 1
 
1.0%
15382 1
 
1.0%
12041 1
 
1.0%
19768 1
 
1.0%
21351 1
 
1.0%
23104 1
 
1.0%
22840 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
112 1
1.0%
190 1
1.0%
235 1
1.0%
365 1
1.0%
537 1
1.0%
539 1
1.0%
614 1
1.0%
870 1
1.0%
1040 1
1.0%
1550 1
1.0%
ValueCountFrequency (%)
47485 1
1.0%
47149 1
1.0%
45463 1
1.0%
45290 1
1.0%
44424 1
1.0%
44346 1
1.0%
44297 1
1.0%
44050 1
1.0%
43562 1
1.0%
42592 1
1.0%

총계 남
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12120.059
Minimum26
Maximum23154
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:13:47.112778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26
5-th percentile110
Q16660
median12788
Q318378
95-th percentile21801
Maximum23154
Range23128
Interquartile range (IQR)11718

Descriptive statistics

Standard deviation7210.291
Coefficient of variation (CV)0.59490558
Kurtosis-1.1253835
Mean12120.059
Median Absolute Deviation (MAD)5913
Skewness-0.34308841
Sum1224126
Variance51988296
MonotonicityNot monotonic
2023-09-29T01:13:48.128706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
110 2
 
2.0%
7488 1
 
1.0%
15774 1
 
1.0%
6660 1
 
1.0%
5534 1
 
1.0%
8844 1
 
1.0%
9770 1
 
1.0%
10563 1
 
1.0%
10838 1
 
1.0%
9776 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
26 1
1.0%
32 1
1.0%
45 1
1.0%
75 1
1.0%
110 2
2.0%
136 1
1.0%
195 1
1.0%
209 1
1.0%
355 1
1.0%
489 1
1.0%
ValueCountFrequency (%)
23154 1
1.0%
23101 1
1.0%
22371 1
1.0%
22219 1
1.0%
22063 1
1.0%
21801 1
1.0%
21673 1
1.0%
21385 1
1.0%
21313 1
1.0%
20949 1
1.0%

총계 여
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12331.594
Minimum86
Maximum24384
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:13:49.601773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum86
5-th percentile429
Q18528
median12361
Q317298
95-th percentile22496
Maximum24384
Range24298
Interquartile range (IQR)8770

Descriptive statistics

Standard deviation6753.6657
Coefficient of variation (CV)0.54767175
Kurtosis-0.807249
Mean12331.594
Median Absolute Deviation (MAD)4909
Skewness-0.18993344
Sum1245491
Variance45612000
MonotonicityNot monotonic
2023-09-29T01:13:51.450482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7080 1
 
1.0%
13862 1
 
1.0%
9513 1
 
1.0%
8722 1
 
1.0%
6507 1
 
1.0%
10924 1
 
1.0%
11581 1
 
1.0%
12541 1
 
1.0%
12002 1
 
1.0%
11192 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
86 1
1.0%
158 1
1.0%
190 1
1.0%
290 1
1.0%
427 1
1.0%
429 1
1.0%
478 1
1.0%
675 1
1.0%
831 1
1.0%
1195 1
1.0%
ValueCountFrequency (%)
24384 1
1.0%
23995 1
1.0%
23092 1
1.0%
23071 1
1.0%
23039 1
1.0%
22496 1
1.0%
22377 1
1.0%
22283 1
1.0%
22249 1
1.0%
21643 1
1.0%

중구 계
Real number (ℝ)

Distinct96
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean777.52475
Minimum6
Maximum1388
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:13:52.860851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile34
Q1504
median853
Q31153
95-th percentile1269
Maximum1388
Range1382
Interquartile range (IQR)649

Descriptive statistics

Standard deviation407.40787
Coefficient of variation (CV)0.52398058
Kurtosis-1.0261109
Mean777.52475
Median Absolute Deviation (MAD)336
Skewness-0.44445431
Sum78530
Variance165981.17
MonotonicityNot monotonic
2023-09-29T01:13:53.940131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1198 2
 
2.0%
1196 2
 
2.0%
1025 2
 
2.0%
939 2
 
2.0%
1049 2
 
2.0%
946 1
 
1.0%
792 1
 
1.0%
846 1
 
1.0%
853 1
 
1.0%
686 1
 
1.0%
Other values (86) 86
85.1%
ValueCountFrequency (%)
6 1
1.0%
16 1
1.0%
18 1
1.0%
23 1
1.0%
33 1
1.0%
34 1
1.0%
40 1
1.0%
51 1
1.0%
88 1
1.0%
91 1
1.0%
ValueCountFrequency (%)
1388 1
1.0%
1345 1
1.0%
1316 1
1.0%
1288 1
1.0%
1283 1
1.0%
1269 1
1.0%
1261 1
1.0%
1256 1
1.0%
1242 1
1.0%
1236 1
1.0%

중구 남
Real number (ℝ)

Distinct93
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean377.16832
Minimum1
Maximum683
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:13:54.809673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9
Q1241
median376
Q3566
95-th percentile643
Maximum683
Range682
Interquartile range (IQR)325

Descriptive statistics

Standard deviation211.93329
Coefficient of variation (CV)0.56190641
Kurtosis-1.093054
Mean377.16832
Median Absolute Deviation (MAD)180
Skewness-0.37062339
Sum38094
Variance44915.721
MonotonicityNot monotonic
2023-09-29T01:13:55.866426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
624 2
 
2.0%
9 2
 
2.0%
376 2
 
2.0%
241 2
 
2.0%
260 2
 
2.0%
619 2
 
2.0%
7 2
 
2.0%
3 2
 
2.0%
542 1
 
1.0%
405 1
 
1.0%
Other values (83) 83
82.2%
ValueCountFrequency (%)
1 1
1.0%
3 2
2.0%
7 2
2.0%
9 2
2.0%
14 1
1.0%
15 1
1.0%
16 1
1.0%
34 1
1.0%
38 1
1.0%
40 1
1.0%
ValueCountFrequency (%)
683 1
1.0%
673 1
1.0%
668 1
1.0%
658 1
1.0%
647 1
1.0%
643 1
1.0%
636 1
1.0%
627 1
1.0%
625 1
1.0%
624 2
2.0%

중구 여
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean400.35644
Minimum5
Maximum718
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:13:56.839663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile27
Q1245
median462
Q3574
95-th percentile631
Maximum718
Range713
Interquartile range (IQR)329

Descriptive statistics

Standard deviation199.65719
Coefficient of variation (CV)0.49869858
Kurtosis-0.97185791
Mean400.35644
Median Absolute Deviation (MAD)150
Skewness-0.4782011
Sum40436
Variance39862.992
MonotonicityNot monotonic
2023-09-29T01:13:57.879640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
574 2
 
2.0%
604 2
 
2.0%
216 2
 
2.0%
236 1
 
1.0%
539 1
 
1.0%
476 1
 
1.0%
493 1
 
1.0%
394 1
 
1.0%
332 1
 
1.0%
505 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
5 1
1.0%
9 1
1.0%
15 1
1.0%
20 1
1.0%
24 1
1.0%
27 1
1.0%
31 1
1.0%
37 1
1.0%
73 1
1.0%
75 1
1.0%
ValueCountFrequency (%)
718 1
1.0%
705 1
1.0%
680 1
1.0%
647 1
1.0%
636 1
1.0%
631 1
1.0%
629 1
1.0%
628 1
1.0%
625 1
1.0%
622 1
1.0%

동구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3484.0792
Minimum25
Maximum6880
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:13:59.151787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25
5-th percentile101
Q12447
median3655
Q35135
95-th percentile5897
Maximum6880
Range6855
Interquartile range (IQR)2688

Descriptive statistics

Standard deviation1879.7983
Coefficient of variation (CV)0.5395395
Kurtosis-0.85771006
Mean3484.0792
Median Absolute Deviation (MAD)1392
Skewness-0.39948373
Sum351892
Variance3533641.8
MonotonicityNot monotonic
2023-09-29T01:14:00.448995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2263 1
 
1.0%
4382 1
 
1.0%
2851 1
 
1.0%
2730 1
 
1.0%
2098 1
 
1.0%
3401 1
 
1.0%
3655 1
 
1.0%
3993 1
 
1.0%
3962 1
 
1.0%
3529 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
25 1
1.0%
33 1
1.0%
35 1
1.0%
66 1
1.0%
73 1
1.0%
101 1
1.0%
106 1
1.0%
148 1
1.0%
163 1
1.0%
259 1
1.0%
ValueCountFrequency (%)
6880 1
1.0%
6499 1
1.0%
6028 1
1.0%
6018 1
1.0%
5997 1
1.0%
5897 1
1.0%
5896 1
1.0%
5728 1
1.0%
5709 1
1.0%
5705 1
1.0%

동구 남
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1726.1584
Minimum6
Maximum3291
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:14:01.583866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile15
Q11159
median1846
Q32599
95-th percentile2943
Maximum3291
Range3285
Interquartile range (IQR)1440

Descriptive statistics

Standard deviation976.81859
Coefficient of variation (CV)0.56589162
Kurtosis-1.0047868
Mean1726.1584
Median Absolute Deviation (MAD)753
Skewness-0.45094153
Sum174342
Variance954174.55
MonotonicityNot monotonic
2023-09-29T01:14:02.696717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2853 2
 
2.0%
1846 2
 
2.0%
2622 2
 
2.0%
1161 1
 
1.0%
2156 1
 
1.0%
1361 1
 
1.0%
1213 1
 
1.0%
1159 1
 
1.0%
962 1
 
1.0%
1502 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
6 1
1.0%
7 1
1.0%
10 1
1.0%
13 1
1.0%
14 1
1.0%
15 1
1.0%
23 1
1.0%
29 1
1.0%
37 1
1.0%
56 1
1.0%
ValueCountFrequency (%)
3291 1
1.0%
3018 1
1.0%
3009 1
1.0%
2975 1
1.0%
2954 1
1.0%
2943 1
1.0%
2923 1
1.0%
2922 1
1.0%
2888 1
1.0%
2868 1
1.0%

동구 여
Real number (ℝ)

Distinct97
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1757.9208
Minimum18
Maximum3589
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:14:03.585450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile83
Q11243
median1819
Q32497
95-th percentile3043
Maximum3589
Range3571
Interquartile range (IQR)1254

Descriptive statistics

Standard deviation921.11079
Coefficient of variation (CV)0.52397742
Kurtosis-0.70814339
Mean1757.9208
Median Absolute Deviation (MAD)633
Skewness-0.28720561
Sum177550
Variance848445.09
MonotonicityNot monotonic
2023-09-29T01:14:04.449644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2879 3
 
3.0%
1345 2
 
2.0%
1471 2
 
2.0%
2497 1
 
1.0%
1803 1
 
1.0%
1638 1
 
1.0%
1571 1
 
1.0%
1136 1
 
1.0%
1899 1
 
1.0%
1963 1
 
1.0%
Other values (87) 87
86.1%
ValueCountFrequency (%)
18 1
1.0%
22 1
1.0%
27 1
1.0%
56 1
1.0%
59 1
1.0%
83 1
1.0%
86 1
1.0%
119 1
1.0%
126 1
1.0%
203 1
1.0%
ValueCountFrequency (%)
3589 1
1.0%
3490 1
1.0%
3130 1
1.0%
3106 1
1.0%
3072 1
1.0%
3043 1
1.0%
2935 1
1.0%
2907 1
1.0%
2898 1
1.0%
2890 1
1.0%

서구 계
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1868.3663
Minimum10
Maximum4450
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:14:05.400852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile52
Q11010
median1948
Q32730
95-th percentile3740
Maximum4450
Range4440
Interquartile range (IQR)1720

Descriptive statistics

Standard deviation1168.0043
Coefficient of variation (CV)0.62514736
Kurtosis-0.87346815
Mean1868.3663
Median Absolute Deviation (MAD)903
Skewness0.12161617
Sum188705
Variance1364234
MonotonicityNot monotonic
2023-09-29T01:14:06.108380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1045 2
 
2.0%
719 1
 
1.0%
3003 1
 
1.0%
1880 1
 
1.0%
1707 1
 
1.0%
1556 1
 
1.0%
1162 1
 
1.0%
2029 1
 
1.0%
2197 1
 
1.0%
2407 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
10 1
1.0%
15 1
1.0%
18 1
1.0%
30 1
1.0%
47 1
1.0%
52 1
1.0%
73 1
1.0%
89 1
1.0%
90 1
1.0%
137 1
1.0%
ValueCountFrequency (%)
4450 1
1.0%
4317 1
1.0%
4020 1
1.0%
4006 1
1.0%
3802 1
1.0%
3740 1
1.0%
3725 1
1.0%
3549 1
1.0%
3528 1
1.0%
3496 1
1.0%

서구 남
Real number (ℝ)

Distinct97
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean941.75248
Minimum2
Maximum2171
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:14:07.533484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile8
Q1495
median1011
Q31394
95-th percentile1873
Maximum2171
Range2169
Interquartile range (IQR)899

Descriptive statistics

Standard deviation611.51131
Coefficient of variation (CV)0.64933338
Kurtosis-1.1279779
Mean941.75248
Median Absolute Deviation (MAD)502
Skewness-0.004179557
Sum95117
Variance373946.09
MonotonicityNot monotonic
2023-09-29T01:14:08.395710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 2
 
2.0%
1516 2
 
2.0%
1679 2
 
2.0%
1264 2
 
2.0%
347 1
 
1.0%
1369 1
 
1.0%
701 1
 
1.0%
524 1
 
1.0%
895 1
 
1.0%
988 1
 
1.0%
Other values (87) 87
86.1%
ValueCountFrequency (%)
2 1
1.0%
3 1
1.0%
4 1
1.0%
7 2
2.0%
8 1
1.0%
10 1
1.0%
19 1
1.0%
20 1
1.0%
21 1
1.0%
41 1
1.0%
ValueCountFrequency (%)
2171 1
1.0%
2085 1
1.0%
2022 1
1.0%
1973 1
1.0%
1920 1
1.0%
1873 1
1.0%
1823 1
1.0%
1813 1
1.0%
1792 1
1.0%
1771 1
1.0%

서구 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean926.61386
Minimum6
Maximum2279
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:14:09.210967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile45
Q1496
median909
Q31234
95-th percentile1852
Maximum2279
Range2273
Interquartile range (IQR)738

Descriptive statistics

Standard deviation569.66931
Coefficient of variation (CV)0.61478608
Kurtosis-0.60448929
Mean926.61386
Median Absolute Deviation (MAD)390
Skewness0.29857537
Sum93588
Variance324523.12
MonotonicityNot monotonic
2023-09-29T01:14:11.105143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
988 2
 
2.0%
1442 1
 
1.0%
1002 1
 
1.0%
855 1
 
1.0%
638 1
 
1.0%
1134 1
 
1.0%
1209 1
 
1.0%
1280 1
 
1.0%
1215 1
 
1.0%
1129 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
6 1
1.0%
13 1
1.0%
15 1
1.0%
22 1
1.0%
40 1
1.0%
45 1
1.0%
63 1
1.0%
68 1
1.0%
70 1
1.0%
118 1
1.0%
ValueCountFrequency (%)
2279 1
1.0%
2232 1
1.0%
2033 1
1.0%
1998 1
1.0%
1979 1
1.0%
1852 1
1.0%
1820 1
1.0%
1806 1
1.0%
1778 1
1.0%
1770 1
1.0%

남구 계
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1503.8614
Minimum11
Maximum3105
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:14:11.983555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile62
Q1838
median1693
Q32178
95-th percentile2665
Maximum3105
Range3094
Interquartile range (IQR)1340

Descriptive statistics

Standard deviation844.96109
Coefficient of variation (CV)0.56186102
Kurtosis-1.0630899
Mean1503.8614
Median Absolute Deviation (MAD)737
Skewness-0.21644095
Sum151890
Variance713959.24
MonotonicityNot monotonic
2023-09-29T01:14:13.029253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2457 2
 
2.0%
1884 2
 
2.0%
586 1
 
1.0%
2303 1
 
1.0%
1465 1
 
1.0%
1328 1
 
1.0%
1079 1
 
1.0%
1808 1
 
1.0%
1834 1
 
1.0%
1989 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
11 1
1.0%
23 1
1.0%
24 1
1.0%
29 1
1.0%
53 1
1.0%
62 1
1.0%
72 1
1.0%
74 1
1.0%
108 1
1.0%
140 1
1.0%
ValueCountFrequency (%)
3105 1
1.0%
3039 1
1.0%
2810 1
1.0%
2741 1
1.0%
2724 1
1.0%
2665 1
1.0%
2663 1
1.0%
2574 1
1.0%
2562 1
1.0%
2548 1
1.0%

남구 남
Real number (ℝ)

Distinct95
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean727.76238
Minimum3
Maximum1428
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:14:13.860283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile16
Q1393
median800
Q31078
95-th percentile1307
Maximum1428
Range1425
Interquartile range (IQR)685

Descriptive statistics

Standard deviation427.11856
Coefficient of variation (CV)0.58689288
Kurtosis-1.1931752
Mean727.76238
Median Absolute Deviation (MAD)353
Skewness-0.25450542
Sum73504
Variance182430.26
MonotonicityNot monotonic
2023-09-29T01:14:14.781116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
63 2
 
2.0%
3 2
 
2.0%
378 2
 
2.0%
447 2
 
2.0%
16 2
 
2.0%
1015 2
 
2.0%
1251 1
 
1.0%
472 1
 
1.0%
791 1
 
1.0%
804 1
 
1.0%
Other values (85) 85
84.2%
ValueCountFrequency (%)
3 2
2.0%
4 1
1.0%
6 1
1.0%
8 1
1.0%
16 2
2.0%
18 1
1.0%
19 1
1.0%
35 1
1.0%
63 2
2.0%
80 1
1.0%
ValueCountFrequency (%)
1428 1
1.0%
1404 1
1.0%
1361 1
1.0%
1322 1
1.0%
1314 1
1.0%
1307 1
1.0%
1306 1
1.0%
1283 1
1.0%
1255 1
1.0%
1251 1
1.0%

남구 여
Real number (ℝ)

Distinct96
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean776.09901
Minimum8
Maximum1677
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:14:15.430946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile46
Q1410
median845
Q31062
95-th percentile1380
Maximum1677
Range1669
Interquartile range (IQR)652

Descriptive statistics

Standard deviation427.51932
Coefficient of variation (CV)0.55085668
Kurtosis-0.91342739
Mean776.09901
Median Absolute Deviation (MAD)370
Skewness-0.1237381
Sum78386
Variance182772.77
MonotonicityNot monotonic
2023-09-29T01:14:16.278549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1046 2
 
2.0%
56 2
 
2.0%
977 2
 
2.0%
845 2
 
2.0%
20 2
 
2.0%
1315 1
 
1.0%
1138 1
 
1.0%
607 1
 
1.0%
1017 1
 
1.0%
1030 1
 
1.0%
Other values (86) 86
85.1%
ValueCountFrequency (%)
8 1
1.0%
20 2
2.0%
23 1
1.0%
45 1
1.0%
46 1
1.0%
56 2
2.0%
89 1
1.0%
105 1
1.0%
142 1
1.0%
193 1
1.0%
ValueCountFrequency (%)
1677 1
1.0%
1635 1
1.0%
1555 1
1.0%
1412 1
1.0%
1402 1
1.0%
1380 1
1.0%
1372 1
1.0%
1367 1
1.0%
1359 1
1.0%
1315 1
1.0%

북구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4357.8416
Minimum16
Maximum8818
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:14:17.002461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile68
Q12497
median4346
Q36556
95-th percentile8273
Maximum8818
Range8802
Interquartile range (IQR)4059

Descriptive statistics

Standard deviation2568.6163
Coefficient of variation (CV)0.58942398
Kurtosis-1.0099962
Mean4357.8416
Median Absolute Deviation (MAD)2086
Skewness-0.22080704
Sum440142
Variance6597789.9
MonotonicityNot monotonic
2023-09-29T01:14:17.870576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2766 1
 
1.0%
4305 1
 
1.0%
2585 1
 
1.0%
2497 1
 
1.0%
1893 1
 
1.0%
3042 1
 
1.0%
3381 1
 
1.0%
3713 1
 
1.0%
3507 1
 
1.0%
3309 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
16 1
1.0%
34 1
1.0%
42 1
1.0%
49 1
1.0%
67 1
1.0%
68 1
1.0%
95 1
1.0%
126 1
1.0%
152 1
1.0%
214 1
1.0%
ValueCountFrequency (%)
8818 1
1.0%
8666 1
1.0%
8449 1
1.0%
8400 1
1.0%
8347 1
1.0%
8273 1
1.0%
8076 1
1.0%
7945 1
1.0%
7864 1
1.0%
7846 1
1.0%

북구 남
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2175.5941
Minimum3
Maximum4389
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:14:18.613702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile15
Q11030
median2219
Q33323
95-th percentile4087
Maximum4389
Range4386
Interquartile range (IQR)2293

Descriptive statistics

Standard deviation1346.6636
Coefficient of variation (CV)0.61898662
Kurtosis-1.17519
Mean2175.5941
Median Absolute Deviation (MAD)1129
Skewness-0.27028075
Sum219735
Variance1813502.9
MonotonicityNot monotonic
2023-09-29T01:14:19.489597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 2
 
2.0%
1410 1
 
1.0%
2509 1
 
1.0%
1030 1
 
1.0%
846 1
 
1.0%
1361 1
 
1.0%
1514 1
 
1.0%
1677 1
 
1.0%
1621 1
 
1.0%
1528 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
3 1
1.0%
4 1
1.0%
6 1
1.0%
12 2
2.0%
15 1
1.0%
16 1
1.0%
26 1
1.0%
31 1
1.0%
52 1
1.0%
53 1
1.0%
ValueCountFrequency (%)
4389 1
1.0%
4260 1
1.0%
4214 1
1.0%
4156 1
1.0%
4092 1
1.0%
4087 1
1.0%
3965 1
1.0%
3956 1
1.0%
3954 1
1.0%
3907 1
1.0%

북구 여
Real number (ℝ)

Distinct96
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2182.2475
Minimum13
Maximum4429
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:14:20.226303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile52
Q11365
median2192
Q33120
95-th percentile4186
Maximum4429
Range4416
Interquartile range (IQR)1755

Descriptive statistics

Standard deviation1235.7155
Coefficient of variation (CV)0.56625816
Kurtosis-0.81471015
Mean2182.2475
Median Absolute Deviation (MAD)892
Skewness-0.13953842
Sum220407
Variance1526992.7
MonotonicityNot monotonic
2023-09-29T01:14:21.360159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1847 2
 
2.0%
2317 2
 
2.0%
52 2
 
2.0%
2846 2
 
2.0%
3084 2
 
2.0%
1356 1
 
1.0%
1781 1
 
1.0%
1539 1
 
1.0%
1467 1
 
1.0%
1047 1
 
1.0%
Other values (86) 86
85.1%
ValueCountFrequency (%)
13 1
1.0%
30 1
1.0%
36 1
1.0%
37 1
1.0%
52 2
2.0%
83 1
1.0%
95 1
1.0%
126 1
1.0%
161 1
1.0%
207 1
1.0%
ValueCountFrequency (%)
4429 1
1.0%
4406 1
1.0%
4255 1
1.0%
4244 1
1.0%
4235 1
1.0%
4186 1
1.0%
4169 1
1.0%
3991 1
1.0%
3899 1
1.0%
3890 1
1.0%

수성구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4311.5644
Minimum17
Maximum9249
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:14:21.912607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile97
Q12268
median4285
Q36263
95-th percentile8535
Maximum9249
Range9232
Interquartile range (IQR)3995

Descriptive statistics

Standard deviation2568.7426
Coefficient of variation (CV)0.59577972
Kurtosis-0.93402338
Mean4311.5644
Median Absolute Deviation (MAD)2017
Skewness-0.065174902
Sum435468
Variance6598438.5
MonotonicityNot monotonic
2023-09-29T01:14:23.263211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1784 1
 
1.0%
4329 1
 
1.0%
2791 1
 
1.0%
2553 1
 
1.0%
1956 1
 
1.0%
3288 1
 
1.0%
3501 1
 
1.0%
3652 1
 
1.0%
3742 1
 
1.0%
3426 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
17 1
1.0%
29 1
1.0%
43 1
1.0%
73 1
1.0%
83 1
1.0%
97 1
1.0%
102 1
1.0%
172 1
1.0%
212 1
1.0%
294 1
1.0%
ValueCountFrequency (%)
9249 1
1.0%
9154 1
1.0%
9046 1
1.0%
8860 1
1.0%
8629 1
1.0%
8535 1
1.0%
8143 1
1.0%
7943 1
1.0%
7595 1
1.0%
7592 1
1.0%

수성구 남
Real number (ℝ)

Distinct96
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2098.505
Minimum4
Maximum4425
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:14:25.482427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile24
Q1994
median2174
Q33166
95-th percentile3918
Maximum4425
Range4421
Interquartile range (IQR)2172

Descriptive statistics

Standard deviation1297.2415
Coefficient of variation (CV)0.61817413
Kurtosis-1.1221617
Mean2098.505
Median Absolute Deviation (MAD)1081
Skewness-0.14615471
Sum211949
Variance1682835.5
MonotonicityNot monotonic
2023-09-29T01:14:27.100959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 2
 
2.0%
3672 2
 
2.0%
24 2
 
2.0%
85 2
 
2.0%
3632 2
 
2.0%
911 1
 
1.0%
2541 1
 
1.0%
1431 1
 
1.0%
1582 1
 
1.0%
1614 1
 
1.0%
Other values (86) 86
85.1%
ValueCountFrequency (%)
4 2
2.0%
7 1
1.0%
15 1
1.0%
24 2
2.0%
25 1
1.0%
40 1
1.0%
46 1
1.0%
85 2
2.0%
123 1
1.0%
157 1
1.0%
ValueCountFrequency (%)
4425 1
1.0%
4293 1
1.0%
4225 1
1.0%
4144 1
1.0%
4097 1
1.0%
3918 1
1.0%
3899 1
1.0%
3878 1
1.0%
3751 1
1.0%
3741 1
1.0%

수성구 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2213.0594
Minimum13
Maximum4956
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:14:27.726830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile73
Q11274
median2204
Q33099
95-th percentile4547
Maximum4956
Range4943
Interquartile range (IQR)1825

Descriptive statistics

Standard deviation1296.6323
Coefficient of variation (CV)0.58590038
Kurtosis-0.66799457
Mean2213.0594
Median Absolute Deviation (MAD)899
Skewness0.094973474
Sum223519
Variance1681255.4
MonotonicityNot monotonic
2023-09-29T01:14:28.503292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2278 2
 
2.0%
2454 1
 
1.0%
1767 1
 
1.0%
1578 1
 
1.0%
1440 1
 
1.0%
1034 1
 
1.0%
1857 1
 
1.0%
1919 1
 
1.0%
2038 1
 
1.0%
1980 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
13 1
1.0%
25 1
1.0%
36 1
1.0%
58 1
1.0%
59 1
1.0%
73 1
1.0%
77 1
1.0%
132 1
1.0%
166 1
1.0%
209 1
1.0%
ValueCountFrequency (%)
4956 1
1.0%
4821 1
1.0%
4763 1
1.0%
4751 1
1.0%
4729 1
1.0%
4547 1
1.0%
4391 1
1.0%
4151 1
1.0%
4025 1
1.0%
3920 1
1.0%

달서구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5694.2574
Minimum19
Maximum11637
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:14:29.240892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile94
Q12885
median5897
Q38504
95-th percentile10828
Maximum11637
Range11618
Interquartile range (IQR)5619

Descriptive statistics

Standard deviation3467.8696
Coefficient of variation (CV)0.60901173
Kurtosis-1.1154008
Mean5694.2574
Median Absolute Deviation (MAD)2707
Skewness-0.16191652
Sum575120
Variance12026119
MonotonicityNot monotonic
2023-09-29T01:14:30.160185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3215 1
 
1.0%
5634 1
 
1.0%
2962 1
 
1.0%
2885 1
 
1.0%
2313 1
 
1.0%
3896 1
 
1.0%
4200 1
 
1.0%
4574 1
 
1.0%
4527 1
 
1.0%
4345 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
19 1
1.0%
25 1
1.0%
39 1
1.0%
64 1
1.0%
68 1
1.0%
94 1
1.0%
96 1
1.0%
154 1
1.0%
187 1
1.0%
263 1
1.0%
ValueCountFrequency (%)
11637 1
1.0%
11516 1
1.0%
11118 1
1.0%
10925 1
1.0%
10906 1
1.0%
10828 1
1.0%
10678 1
1.0%
10665 1
1.0%
10532 1
1.0%
10513 1
1.0%

달서구 남
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2824.1881
Minimum2
Maximum5617
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:14:30.998129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile21
Q11234
median2870
Q34308
95-th percentile5233
Maximum5617
Range5615
Interquartile range (IQR)3074

Descriptive statistics

Standard deviation1777.7076
Coefficient of variation (CV)0.62945792
Kurtosis-1.247586
Mean2824.1881
Median Absolute Deviation (MAD)1542
Skewness-0.25748924
Sum285243
Variance3160244.3
MonotonicityNot monotonic
2023-09-29T01:14:31.995125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 2
 
2.0%
4588 2
 
2.0%
1719 1
 
1.0%
2865 1
 
1.0%
1234 1
 
1.0%
1276 1
 
1.0%
1093 1
 
1.0%
1812 1
 
1.0%
1975 1
 
1.0%
2145 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
2 1
1.0%
6 2
2.0%
12 1
1.0%
13 1
1.0%
21 1
1.0%
25 1
1.0%
33 1
1.0%
36 1
1.0%
65 1
1.0%
81 1
1.0%
ValueCountFrequency (%)
5617 1
1.0%
5580 1
1.0%
5436 1
1.0%
5374 1
1.0%
5248 1
1.0%
5233 1
1.0%
5143 1
1.0%
5085 1
1.0%
5059 1
1.0%
5030 1
1.0%

달서구 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2870.0693
Minimum17
Maximum6057
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:14:32.728219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile69
Q11596
median2873
Q34108
95-th percentile5593
Maximum6057
Range6040
Interquartile range (IQR)2512

Descriptive statistics

Standard deviation1710.422
Coefficient of variation (CV)0.59595148
Kurtosis-0.93592934
Mean2870.0693
Median Absolute Deviation (MAD)1277
Skewness-0.024300628
Sum289877
Variance2925543.6
MonotonicityNot monotonic
2023-09-29T01:14:34.316363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2896 2
 
2.0%
1496 1
 
1.0%
1596 1
 
1.0%
1934 1
 
1.0%
1728 1
 
1.0%
1609 1
 
1.0%
1220 1
 
1.0%
2084 1
 
1.0%
2225 1
 
1.0%
2429 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
17 1
1.0%
19 1
1.0%
33 1
1.0%
52 1
1.0%
55 1
1.0%
69 1
1.0%
75 1
1.0%
121 1
1.0%
151 1
1.0%
198 1
1.0%
ValueCountFrequency (%)
6057 1
1.0%
5899 1
1.0%
5744 1
1.0%
5677 1
1.0%
5673 1
1.0%
5593 1
1.0%
5522 1
1.0%
5508 1
1.0%
5483 1
1.0%
5416 1
1.0%

달성군 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2454.1584
Minimum8
Maximum5183
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:14:35.140001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile35
Q11147
median2734
Q33771
95-th percentile4321
Maximum5183
Range5175
Interquartile range (IQR)2624

Descriptive statistics

Standard deviation1462.3573
Coefficient of variation (CV)0.59586916
Kurtosis-1.0313637
Mean2454.1584
Median Absolute Deviation (MAD)1177
Skewness-0.24756226
Sum247870
Variance2138488.9
MonotonicityNot monotonic
2023-09-29T01:14:36.290003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2724 1
 
1.0%
2099 1
 
1.0%
1174 1
 
1.0%
1147 1
 
1.0%
975 1
 
1.0%
1421 1
 
1.0%
1656 1
 
1.0%
1830 1
 
1.0%
1844 1
 
1.0%
1722 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
8 1
1.0%
15 1
1.0%
16 1
1.0%
26 1
1.0%
31 1
1.0%
35 1
1.0%
49 1
1.0%
68 1
1.0%
92 1
1.0%
152 1
1.0%
ValueCountFrequency (%)
5183 1
1.0%
5164 1
1.0%
5013 1
1.0%
4937 1
1.0%
4413 1
1.0%
4321 1
1.0%
4234 1
1.0%
4230 1
1.0%
4198 1
1.0%
4140 1
1.0%

달성군 남
Real number (ℝ)

Distinct97
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1248.9307
Minimum0
Maximum2726
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:14:37.290010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q1484
median1387
Q31890
95-th percentile2227
Maximum2726
Range2726
Interquartile range (IQR)1406

Descriptive statistics

Standard deviation783.69861
Coefficient of variation (CV)0.62749567
Kurtosis-1.1274089
Mean1248.9307
Median Absolute Deviation (MAD)606
Skewness-0.27584626
Sum126142
Variance614183.51
MonotonicityNot monotonic
2023-09-29T01:14:38.246757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1698 2
 
2.0%
1635 2
 
2.0%
9 2
 
2.0%
2180 2
 
2.0%
1374 1
 
1.0%
1102 1
 
1.0%
484 1
 
1.0%
540 1
 
1.0%
482 1
 
1.0%
674 1
 
1.0%
Other values (87) 87
86.1%
ValueCountFrequency (%)
0 1
1.0%
2 1
1.0%
3 1
1.0%
6 1
1.0%
8 1
1.0%
9 2
2.0%
17 1
1.0%
19 1
1.0%
26 1
1.0%
39 1
1.0%
ValueCountFrequency (%)
2726 1
1.0%
2687 1
1.0%
2581 1
1.0%
2469 1
1.0%
2250 1
1.0%
2227 1
1.0%
2194 1
1.0%
2180 2
2.0%
2158 1
1.0%
2137 1
1.0%

달성군 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1205.2277
Minimum6
Maximum2496
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:14:39.242348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile29
Q1690
median1240
Q31805
95-th percentile2141
Maximum2496
Range2490
Interquartile range (IQR)1115

Descriptive statistics

Standard deviation684.48415
Coefficient of variation (CV)0.56792931
Kurtosis-0.90833202
Mean1205.2277
Median Absolute Deviation (MAD)565
Skewness-0.20530809
Sum121728
Variance468518.56
MonotonicityNot monotonic
2023-09-29T01:14:40.092414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1240 2
 
2.0%
1350 1
 
1.0%
1223 1
 
1.0%
774 1
 
1.0%
690 1
 
1.0%
607 1
 
1.0%
493 1
 
1.0%
747 1
 
1.0%
846 1
 
1.0%
923 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
6 1
1.0%
13 1
1.0%
15 1
1.0%
18 1
1.0%
22 1
1.0%
29 1
1.0%
40 1
1.0%
51 1
1.0%
73 1
1.0%
126 1
1.0%
ValueCountFrequency (%)
2496 1
1.0%
2468 1
1.0%
2438 1
1.0%
2432 1
1.0%
2163 1
1.0%
2141 1
1.0%
2137 1
1.0%
2093 1
1.0%
2055 1
1.0%
2006 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
00세14568748870805112752362263116111027193473725862912952766141013561784911873321517191496272413741350
11세1747589478528609309300275514101345887443444718364354336116911670226411701094381820171801306315431520
22세19562998595776123083043000146715331010539471776393383373018831847268414101274442323172106332716681659
33세20123102499874648315333314616561490949497452758378380383219761856287614231453466123662295325316381615
44세197941006997255562872692971151914521014518496820410410377919331846308915961493452922942235303615121524
55세2126710951103166143252893102160314991093534559838435403402320561967353918201719491025122398314816661482
66세2191211133107795593052543155163415211052541511858447411408720911996388619651921521125772634310415731531
77세2221111482107295833002833070159914711085551534825443382411321611952417721412036536427682596299415191475
88세20390105749816496268228284014951345908457451752378374379219451847394420451899506826272441259013591231
99세2089910834100654862602262773144313301002509493866447419391819951923426522322033507726682409251212801232
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
9191세1550355119591167525956203137191181403510521453161294852092636519815226126
9292세1040209831511437148291199020701081989152261262124616618736151921973
9393세870195675409311633712673106374185612631951724013215433121681751
9494세5371104273392410115865274553845671552102257794256935629
9595세539110429347277314594774062164695128383245996217549940
9696세3657529023320661056308222962349123773155864125231922
9797세2354519018315351322183152442042636437363963316313
9898세19032158167933627152132332034430294252561915015
9999세11226866152571810461138163131741319217826
100100세 이상614136478881573106238389216872165668165297247368135526818