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

Description2017.8.31.기준 주민등록인구현황
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3077757&dataSetDetailId=30777571eb6227b7a2f3&provdMethod=FILE

Alerts

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

Reproduction

Analysis started2023-12-10 20:15:04.684032
Analysis finished2023-12-10 20:15:04.938165
Duration0.25 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
2023-12-11T05:15:05.277747image/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%
2023-12-11T05:15:05.905269image/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%
Mean24553.337
Minimum109
Maximum48477
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:15:06.125218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum109
5-th percentile595
Q114965
median25694
Q335818
95-th percentile45197
Maximum48477
Range48368
Interquartile range (IQR)20853

Descriptive statistics

Standard deviation14073.365
Coefficient of variation (CV)0.57317525
Kurtosis-0.98811872
Mean24553.337
Median Absolute Deviation (MAD)10194
Skewness-0.27875983
Sum2479887
Variance1.980596 × 108
MonotonicityNot monotonic
2023-12-11T05:15:06.363835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16152 1
 
1.0%
28074 1
 
1.0%
18181 1
 
1.0%
16656 1
 
1.0%
15477 1
 
1.0%
12984 1
 
1.0%
20209 1
 
1.0%
22075 1
 
1.0%
23883 1
 
1.0%
22546 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
109 1
1.0%
153 1
1.0%
233 1
1.0%
296 1
1.0%
494 1
1.0%
595 1
1.0%
655 1
1.0%
692 1
1.0%
1102 1
1.0%
1271 1
1.0%
ValueCountFrequency (%)
48477 1
1.0%
46778 1
1.0%
46119 1
1.0%
46036 1
1.0%
45215 1
1.0%
45197 1
1.0%
43806 1
1.0%
43682 1
1.0%
43345 1
1.0%
43292 1
1.0%

총계 남
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12182.98
Minimum23
Maximum23629
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:15:06.556884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23
5-th percentile132
Q16156
median13128
Q318297
95-th percentile21837
Maximum23629
Range23606
Interquartile range (IQR)12141

Descriptive statistics

Standard deviation7321.7445
Coefficient of variation (CV)0.6009814
Kurtosis-1.1452222
Mean12182.98
Median Absolute Deviation (MAD)5730
Skewness-0.33673414
Sum1230481
Variance53607943
MonotonicityNot monotonic
2023-12-11T05:15:07.116244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8264 1
 
1.0%
13128 1
 
1.0%
7881 1
 
1.0%
7087 1
 
1.0%
6783 1
 
1.0%
5984 1
 
1.0%
9147 1
 
1.0%
10158 1
 
1.0%
11003 1
 
1.0%
10764 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
23 1
1.0%
31 1
1.0%
45 1
1.0%
59 1
1.0%
99 1
1.0%
132 1
1.0%
139 1
1.0%
145 1
1.0%
237 1
1.0%
281 1
1.0%
ValueCountFrequency (%)
23629 1
1.0%
22881 1
1.0%
22819 1
1.0%
22736 1
1.0%
22187 1
1.0%
21837 1
1.0%
21823 1
1.0%
21531 1
1.0%
21280 1
1.0%
21164 1
1.0%

총계 여
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12370.356
Minimum86
Maximum24848
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:15:07.302612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum86
5-th percentile463
Q18296
median12298
Q317746
95-th percentile23010
Maximum24848
Range24762
Interquartile range (IQR)9450

Descriptive statistics

Standard deviation6835.2251
Coefficient of variation (CV)0.55254876
Kurtosis-0.81757936
Mean12370.356
Median Absolute Deviation (MAD)4858
Skewness-0.18994291
Sum1249406
Variance46720303
MonotonicityNot monotonic
2023-12-11T05:15:07.509879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7888 1
 
1.0%
14946 1
 
1.0%
10300 1
 
1.0%
9569 1
 
1.0%
8694 1
 
1.0%
7000 1
 
1.0%
11062 1
 
1.0%
11917 1
 
1.0%
12880 1
 
1.0%
11782 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
86 1
1.0%
122 1
1.0%
188 1
1.0%
237 1
1.0%
395 1
1.0%
463 1
1.0%
516 1
1.0%
547 1
1.0%
865 1
1.0%
990 1
1.0%
ValueCountFrequency (%)
24848 1
1.0%
23897 1
1.0%
23392 1
1.0%
23383 1
1.0%
23217 1
1.0%
23010 1
1.0%
22187 1
1.0%
22181 1
1.0%
22151 1
1.0%
21969 1
1.0%

중구 계
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean777.39604
Minimum8
Maximum1397
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:15:07.700160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile34
Q1488
median857
Q31148
95-th percentile1269
Maximum1397
Range1389
Interquartile range (IQR)660

Descriptive statistics

Standard deviation410.24376
Coefficient of variation (CV)0.52771527
Kurtosis-1.034213
Mean777.39604
Median Absolute Deviation (MAD)323
Skewness-0.42862841
Sum78517
Variance168299.94
MonotonicityNot monotonic
2023-12-11T05:15:07.942054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1256 2
 
2.0%
8 2
 
2.0%
1054 2
 
2.0%
556 1
 
1.0%
835 1
 
1.0%
853 1
 
1.0%
871 1
 
1.0%
697 1
 
1.0%
647 1
 
1.0%
894 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
8 2
2.0%
19 1
1.0%
21 1
1.0%
31 1
1.0%
34 1
1.0%
44 1
1.0%
62 1
1.0%
65 1
1.0%
87 1
1.0%
111 1
1.0%
ValueCountFrequency (%)
1397 1
1.0%
1379 1
1.0%
1320 1
1.0%
1307 1
1.0%
1299 1
1.0%
1269 1
1.0%
1261 1
1.0%
1256 2
2.0%
1255 1
1.0%
1248 1
1.0%

중구 남
Real number (ℝ)

Distinct95
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean377.70297
Minimum1
Maximum685
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:15:08.167917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q1253
median384
Q3577
95-th percentile642
Maximum685
Range684
Interquartile range (IQR)324

Descriptive statistics

Standard deviation213.22521
Coefficient of variation (CV)0.56453147
Kurtosis-1.0980932
Mean377.70297
Median Absolute Deviation (MAD)177
Skewness-0.37324429
Sum38148
Variance45464.991
MonotonicityNot monotonic
2023-12-11T05:15:08.435797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
321 2
 
2.0%
617 2
 
2.0%
8 2
 
2.0%
4 2
 
2.0%
614 2
 
2.0%
289 2
 
2.0%
474 1
 
1.0%
368 1
 
1.0%
287 1
 
1.0%
282 1
 
1.0%
Other values (85) 85
84.2%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
4 2
2.0%
8 2
2.0%
9 1
1.0%
12 1
1.0%
14 1
1.0%
16 1
1.0%
25 1
1.0%
36 1
1.0%
ValueCountFrequency (%)
685 1
1.0%
671 1
1.0%
668 1
1.0%
658 1
1.0%
647 1
1.0%
642 1
1.0%
638 1
1.0%
637 1
1.0%
635 1
1.0%
632 1
1.0%

중구 여
Real number (ℝ)

Distinct94
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean399.69307
Minimum6
Maximum750
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:15:08.682896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile27
Q1249
median463
Q3569
95-th percentile649
Maximum750
Range744
Interquartile range (IQR)320

Descriptive statistics

Standard deviation201.50954
Coefficient of variation (CV)0.50416071
Kurtosis-0.9731524
Mean399.69307
Median Absolute Deviation (MAD)146
Skewness-0.43239328
Sum40369
Variance40606.095
MonotonicityNot monotonic
2023-12-11T05:15:08.936221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
592 2
 
2.0%
222 2
 
2.0%
578 2
 
2.0%
479 2
 
2.0%
503 2
 
2.0%
519 2
 
2.0%
283 2
 
2.0%
571 1
 
1.0%
539 1
 
1.0%
391 1
 
1.0%
Other values (84) 84
83.2%
ValueCountFrequency (%)
6 1
1.0%
7 1
1.0%
11 1
1.0%
17 1
1.0%
25 1
1.0%
27 1
1.0%
36 1
1.0%
50 1
1.0%
51 1
1.0%
71 1
1.0%
ValueCountFrequency (%)
750 1
1.0%
708 1
1.0%
682 1
1.0%
666 1
1.0%
663 1
1.0%
649 1
1.0%
647 1
1.0%
645 1
1.0%
642 1
1.0%
635 1
1.0%

동구 계
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3474.5347
Minimum16
Maximum6945
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:15:09.223787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile90
Q12505
median3658
Q35160
95-th percentile5835
Maximum6945
Range6929
Interquartile range (IQR)2655

Descriptive statistics

Standard deviation1890.353
Coefficient of variation (CV)0.54405935
Kurtosis-0.85593464
Mean3474.5347
Median Absolute Deviation (MAD)1419
Skewness-0.39850182
Sum350928
Variance3573434.7
MonotonicityNot monotonic
2023-12-11T05:15:09.458915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5810 2
 
2.0%
5389 2
 
2.0%
2538 1
 
1.0%
3512 1
 
1.0%
3112 1
 
1.0%
3158 1
 
1.0%
2862 1
 
1.0%
2753 1
 
1.0%
2239 1
 
1.0%
3460 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
16 1
1.0%
31 1
1.0%
41 1
1.0%
49 1
1.0%
80 1
1.0%
90 1
1.0%
103 1
1.0%
123 1
1.0%
177 1
1.0%
192 1
1.0%
ValueCountFrequency (%)
6945 1
1.0%
6585 1
1.0%
6065 1
1.0%
5933 1
1.0%
5912 1
1.0%
5835 1
1.0%
5832 1
1.0%
5810 2
2.0%
5702 1
1.0%
5678 1
1.0%

동구 남
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1724.1089
Minimum4
Maximum3278
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:15:09.775687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile17
Q11115
median1832
Q32591
95-th percentile2957
Maximum3278
Range3274
Interquartile range (IQR)1476

Descriptive statistics

Standard deviation985.2298
Coefficient of variation (CV)0.5714429
Kurtosis-1.0163354
Mean1724.1089
Median Absolute Deviation (MAD)759
Skewness-0.44536378
Sum174135
Variance970677.76
MonotonicityNot monotonic
2023-12-11T05:15:09.976893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 2
 
2.0%
1315 1
 
1.0%
2079 1
 
1.0%
1222 1
 
1.0%
1189 1
 
1.0%
1008 1
 
1.0%
1570 1
 
1.0%
1730 1
 
1.0%
1914 1
 
1.0%
1832 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
4 1
1.0%
10 2
2.0%
11 1
1.0%
14 1
1.0%
17 1
1.0%
18 1
1.0%
22 1
1.0%
39 1
1.0%
40 1
1.0%
69 1
1.0%
ValueCountFrequency (%)
3278 1
1.0%
3110 1
1.0%
3014 1
1.0%
2985 1
1.0%
2967 1
1.0%
2957 1
1.0%
2927 1
1.0%
2919 1
1.0%
2911 1
1.0%
2895 1
1.0%

동구 여
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1750.4257
Minimum12
Maximum3667
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:15:10.175290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile73
Q11231
median1837
Q32555
95-th percentile2968
Maximum3667
Range3655
Interquartile range (IQR)1324

Descriptive statistics

Standard deviation922.85542
Coefficient of variation (CV)0.52721769
Kurtosis-0.68367492
Mean1750.4257
Median Absolute Deviation (MAD)614
Skewness-0.29056555
Sum176793
Variance851662.13
MonotonicityNot monotonic
2023-12-11T05:15:10.388997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1223 2
 
2.0%
1852 2
 
2.0%
3033 1
 
1.0%
2081 1
 
1.0%
1491 1
 
1.0%
1783 1
 
1.0%
1764 1
 
1.0%
1640 1
 
1.0%
1564 1
 
1.0%
1231 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
12 1
1.0%
21 1
1.0%
31 1
1.0%
35 1
1.0%
69 1
1.0%
73 1
1.0%
81 1
1.0%
105 1
1.0%
138 1
1.0%
152 1
1.0%
ValueCountFrequency (%)
3667 1
1.0%
3475 1
1.0%
3187 1
1.0%
3038 1
1.0%
3033 1
1.0%
2968 1
1.0%
2962 1
1.0%
2918 1
1.0%
2915 1
1.0%
2899 1
1.0%

서구 계
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1934.8812
Minimum10
Maximum4673
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:15:10.602284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile67
Q11036
median2094
Q32804
95-th percentile3793
Maximum4673
Range4663
Interquartile range (IQR)1768

Descriptive statistics

Standard deviation1205.5971
Coefficient of variation (CV)0.62308585
Kurtosis-0.89273389
Mean1934.8812
Median Absolute Deviation (MAD)971
Skewness0.075404631
Sum195423
Variance1453464.3
MonotonicityNot monotonic
2023-12-11T05:15:10.809339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1077 2
 
2.0%
1123 2
 
2.0%
2393 2
 
2.0%
864 1
 
1.0%
2223 1
 
1.0%
1904 1
 
1.0%
1890 1
 
1.0%
1771 1
 
1.0%
1550 1
 
1.0%
1289 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
10 1
1.0%
16 1
1.0%
18 1
1.0%
28 1
1.0%
39 1
1.0%
67 1
1.0%
70 1
1.0%
85 1
1.0%
88 1
1.0%
105 1
1.0%
ValueCountFrequency (%)
4673 1
1.0%
4440 1
1.0%
4045 1
1.0%
3997 1
1.0%
3970 1
1.0%
3793 1
1.0%
3757 1
1.0%
3683 1
1.0%
3613 1
1.0%
3595 1
1.0%

서구 남
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean976.15842
Minimum1
Maximum2283
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:15:11.017593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q1517
median1081
Q31450
95-th percentile1937
Maximum2283
Range2282
Interquartile range (IQR)933

Descriptive statistics

Standard deviation633.95242
Coefficient of variation (CV)0.64943601
Kurtosis-1.1490746
Mean976.15842
Median Absolute Deviation (MAD)527
Skewness-0.038767194
Sum98592
Variance401895.67
MonotonicityNot monotonic
2023-12-11T05:15:11.233193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
539 2
 
2.0%
575 2
 
2.0%
10 2
 
2.0%
1336 1
 
1.0%
727 1
 
1.0%
731 1
 
1.0%
587 1
 
1.0%
920 1
 
1.0%
1081 1
 
1.0%
1195 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
1 1
1.0%
3 1
1.0%
4 1
1.0%
6 1
1.0%
8 1
1.0%
10 2
2.0%
13 1
1.0%
20 1
1.0%
22 1
1.0%
28 1
1.0%
ValueCountFrequency (%)
2283 1
1.0%
2144 1
1.0%
2002 1
1.0%
1999 1
1.0%
1945 1
1.0%
1937 1
1.0%
1922 1
1.0%
1908 1
1.0%
1843 1
1.0%
1773 1
1.0%

서구 여
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean958.72277
Minimum9
Maximum2390
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:15:11.436605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile57
Q1519
median973
Q31273
95-th percentile1885
Maximum2390
Range2381
Interquartile range (IQR)754

Descriptive statistics

Standard deviation584.82213
Coefficient of variation (CV)0.61000129
Kurtosis-0.59598565
Mean958.72277
Median Absolute Deviation (MAD)416
Skewness0.24904403
Sum96831
Variance342016.92
MonotonicityNot monotonic
2023-12-11T05:15:11.629516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
573 2
 
2.0%
1174 2
 
2.0%
433 1
 
1.0%
1504 1
 
1.0%
1060 1
 
1.0%
1044 1
 
1.0%
819 1
 
1.0%
702 1
 
1.0%
1267 1
 
1.0%
1357 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
9 1
1.0%
13 1
1.0%
14 1
1.0%
22 1
1.0%
31 1
1.0%
57 1
1.0%
60 1
1.0%
65 1
1.0%
75 1
1.0%
83 1
1.0%
ValueCountFrequency (%)
2390 1
1.0%
2296 1
1.0%
2075 1
1.0%
2046 1
1.0%
1968 1
1.0%
1885 1
1.0%
1869 1
1.0%
1843 1
1.0%
1828 1
1.0%
1820 1
1.0%

남구 계
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1529.3366
Minimum17
Maximum3154
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:15:11.844222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile65
Q1865
median1756
Q32203
95-th percentile2663
Maximum3154
Range3137
Interquartile range (IQR)1338

Descriptive statistics

Standard deviation856.07111
Coefficient of variation (CV)0.5597663
Kurtosis-1.0481672
Mean1529.3366
Median Absolute Deviation (MAD)711
Skewness-0.2525637
Sum154463
Variance732857.75
MonotonicityNot monotonic
2023-12-11T05:15:12.043366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2203 2
 
2.0%
17 2
 
2.0%
720 1
 
1.0%
2358 1
 
1.0%
1670 1
 
1.0%
1513 1
 
1.0%
1322 1
 
1.0%
1196 1
 
1.0%
1852 1
 
1.0%
1926 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
17 2
2.0%
31 1
1.0%
32 1
1.0%
33 1
1.0%
65 1
1.0%
66 1
1.0%
72 1
1.0%
90 1
1.0%
121 1
1.0%
179 1
1.0%
ValueCountFrequency (%)
3154 1
1.0%
3078 1
1.0%
2852 1
1.0%
2731 1
1.0%
2718 1
1.0%
2663 1
1.0%
2649 1
1.0%
2637 1
1.0%
2609 1
1.0%
2585 1
1.0%

남구 남
Real number (ℝ)

Distinct97
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean741.92079
Minimum3
Maximum1493
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:15:12.265738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile13
Q1424
median829
Q31111
95-th percentile1279
Maximum1493
Range1490
Interquartile range (IQR)687

Descriptive statistics

Standard deviation434.04619
Coefficient of variation (CV)0.58503036
Kurtosis-1.1851983
Mean741.92079
Median Absolute Deviation (MAD)361
Skewness-0.28838366
Sum74934
Variance188396.09
MonotonicityNot monotonic
2023-12-11T05:15:12.851155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
413 2
 
2.0%
338 2
 
2.0%
16 2
 
2.0%
829 2
 
2.0%
368 1
 
1.0%
1001 1
 
1.0%
652 1
 
1.0%
553 1
 
1.0%
512 1
 
1.0%
851 1
 
1.0%
Other values (87) 87
86.1%
ValueCountFrequency (%)
3 1
1.0%
4 1
1.0%
5 1
1.0%
7 1
1.0%
9 1
1.0%
13 1
1.0%
16 2
2.0%
21 1
1.0%
23 1
1.0%
50 1
1.0%
ValueCountFrequency (%)
1493 1
1.0%
1424 1
1.0%
1348 1
1.0%
1336 1
1.0%
1322 1
1.0%
1279 1
1.0%
1277 1
1.0%
1275 1
1.0%
1263 1
1.0%
1259 1
1.0%

남구 여
Real number (ℝ)

Distinct97
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean787.41584
Minimum13
Maximum1661
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:15:13.055537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile49
Q1430
median862
Q31107
95-th percentile1395
Maximum1661
Range1648
Interquartile range (IQR)677

Descriptive statistics

Standard deviation431.71123
Coefficient of variation (CV)0.54826333
Kurtosis-0.8962334
Mean787.41584
Median Absolute Deviation (MAD)356
Skewness-0.15788093
Sum79529
Variance186374.59
MonotonicityNot monotonic
2023-12-11T05:15:13.235998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
411 2
 
2.0%
1023 2
 
2.0%
24 2
 
2.0%
931 2
 
2.0%
1274 1
 
1.0%
965 1
 
1.0%
861 1
 
1.0%
769 1
 
1.0%
684 1
 
1.0%
1075 1
 
1.0%
Other values (87) 87
86.1%
ValueCountFrequency (%)
13 1
1.0%
14 1
1.0%
24 2
2.0%
27 1
1.0%
49 1
1.0%
53 1
1.0%
56 1
1.0%
69 1
1.0%
98 1
1.0%
129 1
1.0%
ValueCountFrequency (%)
1661 1
1.0%
1654 1
1.0%
1575 1
1.0%
1459 1
1.0%
1431 1
1.0%
1395 1
1.0%
1388 1
1.0%
1386 1
1.0%
1370 1
1.0%
1325 1
1.0%

북구 계
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4349.1386
Minimum15
Maximum8701
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:15:13.438808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile75
Q12369
median4439
Q36492
95-th percentile8314
Maximum8701
Range8686
Interquartile range (IQR)4123

Descriptive statistics

Standard deviation2588.91
Coefficient of variation (CV)0.59526961
Kurtosis-1.0296011
Mean4349.1386
Median Absolute Deviation (MAD)2070
Skewness-0.2202941
Sum439263
Variance6702455.1
MonotonicityNot monotonic
2023-12-11T05:15:13.627011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5313 2
 
2.0%
4365 1
 
1.0%
3003 1
 
1.0%
2883 1
 
1.0%
2605 1
 
1.0%
2486 1
 
1.0%
2003 1
 
1.0%
3122 1
 
1.0%
3485 1
 
1.0%
3816 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
15 1
1.0%
20 1
1.0%
38 1
1.0%
42 1
1.0%
67 1
1.0%
75 1
1.0%
88 1
1.0%
99 1
1.0%
149 1
1.0%
189 1
1.0%
ValueCountFrequency (%)
8701 1
1.0%
8636 1
1.0%
8425 1
1.0%
8376 1
1.0%
8358 1
1.0%
8314 1
1.0%
8258 1
1.0%
8089 1
1.0%
7899 1
1.0%
7719 1
1.0%

북구 남
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2173.8119
Minimum3
Maximum4320
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:15:13.817378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile15
Q1973
median2240
Q33331
95-th percentile4113
Maximum4320
Range4317
Interquartile range (IQR)2358

Descriptive statistics

Standard deviation1357.8475
Coefficient of variation (CV)0.6246389
Kurtosis-1.1929668
Mean2173.8119
Median Absolute Deviation (MAD)1175
Skewness-0.26811211
Sum219555
Variance1843749.7
MonotonicityNot monotonic
2023-12-11T05:15:14.026928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 2
 
2.0%
1496 1
 
1.0%
2200 1
 
1.0%
1053 1
 
1.0%
1065 1
 
1.0%
911 1
 
1.0%
1415 1
 
1.0%
1563 1
 
1.0%
1738 1
 
1.0%
1613 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
3 2
2.0%
4 1
1.0%
8 1
1.0%
11 1
1.0%
15 1
1.0%
16 1
1.0%
20 1
1.0%
30 1
1.0%
40 1
1.0%
58 1
1.0%
ValueCountFrequency (%)
4320 1
1.0%
4291 1
1.0%
4177 1
1.0%
4152 1
1.0%
4148 1
1.0%
4113 1
1.0%
4014 1
1.0%
3967 1
1.0%
3953 1
1.0%
3934 1
1.0%

북구 여
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2175.3267
Minimum12
Maximum4381
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:15:14.228304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile60
Q11396
median2204
Q33189
95-th percentile4210
Maximum4381
Range4369
Interquartile range (IQR)1793

Descriptive statistics

Standard deviation1245.0111
Coefficient of variation (CV)0.57233293
Kurtosis-0.83517972
Mean2175.3267
Median Absolute Deviation (MAD)870
Skewness-0.13973748
Sum219708
Variance1550052.7
MonotonicityNot monotonic
2023-12-11T05:15:14.442407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1811 2
 
2.0%
34 2
 
2.0%
2239 1
 
1.0%
1645 1
 
1.0%
1552 1
 
1.0%
1421 1
 
1.0%
1092 1
 
1.0%
1707 1
 
1.0%
1922 1
 
1.0%
2078 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
12 1
1.0%
17 1
1.0%
34 2
2.0%
51 1
1.0%
60 1
1.0%
68 1
1.0%
88 1
1.0%
119 1
1.0%
149 1
1.0%
194 1
1.0%
ValueCountFrequency (%)
4381 1
1.0%
4345 1
1.0%
4273 1
1.0%
4263 1
1.0%
4244 1
1.0%
4210 1
1.0%
4137 1
1.0%
4136 1
1.0%
3932 1
1.0%
3858 1
1.0%

수성구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4381.5347
Minimum15
Maximum9502
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:15:14.642886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile103
Q12353
median4513
Q36603
95-th percentile8524
Maximum9502
Range9487
Interquartile range (IQR)4250

Descriptive statistics

Standard deviation2643.9073
Coefficient of variation (CV)0.60342038
Kurtosis-0.95690336
Mean4381.5347
Median Absolute Deviation (MAD)2092
Skewness-0.043823675
Sum442535
Variance6990245.7
MonotonicityNot monotonic
2023-12-11T05:15:14.847822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2080 1
 
1.0%
4606 1
 
1.0%
3116 1
 
1.0%
2821 1
 
1.0%
2593 1
 
1.0%
2155 1
 
1.0%
3343 1
 
1.0%
3605 1
 
1.0%
3812 1
 
1.0%
3750 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
15 1
1.0%
27 1
1.0%
40 1
1.0%
51 1
1.0%
94 1
1.0%
103 1
1.0%
111 1
1.0%
126 1
1.0%
226 1
1.0%
292 1
1.0%
ValueCountFrequency (%)
9502 1
1.0%
9354 1
1.0%
9182 1
1.0%
9103 1
1.0%
8864 1
1.0%
8524 1
1.0%
8312 1
1.0%
8137 1
1.0%
7860 1
1.0%
7845 1
1.0%

수성구 남
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2135.297
Minimum4
Maximum4449
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:15:15.070447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile24
Q11051
median2172
Q33262
95-th percentile4037
Maximum4449
Range4445
Interquartile range (IQR)2211

Descriptive statistics

Standard deviation1339.6787
Coefficient of variation (CV)0.62739689
Kurtosis-1.1432431
Mean2135.297
Median Absolute Deviation (MAD)1100
Skewness-0.11687212
Sum215665
Variance1794739.1
MonotonicityNot monotonic
2023-12-11T05:15:15.309561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2545 2
 
2.0%
2495 2
 
2.0%
1051 1
 
1.0%
1607 1
 
1.0%
1301 1
 
1.0%
1343 1
 
1.0%
1234 1
 
1.0%
1134 1
 
1.0%
1022 1
 
1.0%
1468 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
4 1
1.0%
5 1
1.0%
6 1
1.0%
10 1
1.0%
21 1
1.0%
24 1
1.0%
29 1
1.0%
30 1
1.0%
52 1
1.0%
78 1
1.0%
ValueCountFrequency (%)
4449 1
1.0%
4412 1
1.0%
4397 1
1.0%
4285 1
1.0%
4056 1
1.0%
4037 1
1.0%
4004 1
1.0%
3923 1
1.0%
3877 1
1.0%
3876 1
1.0%

수성구 여
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2246.2376
Minimum11
Maximum5105
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:15:15.511856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile79
Q11293
median2233
Q33190
95-th percentile4691
Maximum5105
Range5094
Interquartile range (IQR)1897

Descriptive statistics

Standard deviation1331.011
Coefficient of variation (CV)0.5925513
Kurtosis-0.67159788
Mean2246.2376
Median Absolute Deviation (MAD)943
Skewness0.11624295
Sum226870
Variance1771590.4
MonotonicityNot monotonic
2023-12-11T05:15:15.743582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1029 1
 
1.0%
2456 1
 
1.0%
1773 1
 
1.0%
1587 1
 
1.0%
1459 1
 
1.0%
1133 1
 
1.0%
1875 1
 
1.0%
1983 1
 
1.0%
2104 1
 
1.0%
1976 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
11 1
1.0%
21 1
1.0%
35 1
1.0%
41 1
1.0%
73 1
1.0%
79 1
1.0%
82 1
1.0%
96 1
1.0%
174 1
1.0%
214 1
1.0%
ValueCountFrequency (%)
5105 1
1.0%
4905 1
1.0%
4897 1
1.0%
4808 1
1.0%
4755 1
1.0%
4691 1
1.0%
4597 1
1.0%
4275 1
1.0%
4069 1
1.0%
4034 1
1.0%

달서구 계
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5788.8713
Minimum14
Maximum11864
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:15:15.950291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile89
Q12734
median6033
Q38615
95-th percentile10977
Maximum11864
Range11850
Interquartile range (IQR)5881

Descriptive statistics

Standard deviation3556.9718
Coefficient of variation (CV)0.61444997
Kurtosis-1.1470264
Mean5788.8713
Median Absolute Deviation (MAD)2800
Skewness-0.17289616
Sum584676
Variance12652048
MonotonicityNot monotonic
2023-12-11T05:15:16.132392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5372 2
 
2.0%
3689 1
 
1.0%
6073 1
 
1.0%
3399 1
 
1.0%
3340 1
 
1.0%
2998 1
 
1.0%
2940 1
 
1.0%
2484 1
 
1.0%
4010 1
 
1.0%
4350 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
14 1
1.0%
29 1
1.0%
32 1
1.0%
53 1
1.0%
67 1
1.0%
89 1
1.0%
120 1
1.0%
133 1
1.0%
208 1
1.0%
224 1
1.0%
ValueCountFrequency (%)
11864 1
1.0%
11649 1
1.0%
11445 1
1.0%
11217 1
1.0%
11052 1
1.0%
10977 1
1.0%
10873 1
1.0%
10810 1
1.0%
10598 1
1.0%
10543 1
1.0%

달서구 남
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2873.3366
Minimum3
Maximum5805
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:15:16.355583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile18
Q11193
median2918
Q34379
95-th percentile5369
Maximum5805
Range5802
Interquartile range (IQR)3186

Descriptive statistics

Standard deviation1827.2569
Coefficient of variation (CV)0.63593554
Kurtosis-1.2765885
Mean2873.3366
Median Absolute Deviation (MAD)1624
Skewness-0.25995172
Sum290207
Variance3338867.7
MonotonicityNot monotonic
2023-12-11T05:15:16.599866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2676 2
 
2.0%
47 2
 
2.0%
1936 1
 
1.0%
2893 1
 
1.0%
1448 1
 
1.0%
1294 1
 
1.0%
1291 1
 
1.0%
1193 1
 
1.0%
1870 1
 
1.0%
2075 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
3 1
1.0%
4 1
1.0%
5 1
1.0%
8 1
1.0%
12 1
1.0%
18 1
1.0%
34 1
1.0%
35 1
1.0%
47 2
2.0%
75 1
1.0%
ValueCountFrequency (%)
5805 1
1.0%
5542 1
1.0%
5493 1
1.0%
5479 1
1.0%
5374 1
1.0%
5369 1
1.0%
5285 1
1.0%
5163 1
1.0%
5154 1
1.0%
5088 1
1.0%

달서구 여
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2915.5347
Minimum10
Maximum6107
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:15:16.833596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile71
Q11637
median2966
Q34207
95-th percentile5678
Maximum6107
Range6097
Interquartile range (IQR)2570

Descriptive statistics

Standard deviation1750.3351
Coefficient of variation (CV)0.60034789
Kurtosis-0.9630932
Mean2915.5347
Median Absolute Deviation (MAD)1317
Skewness-0.039233783
Sum294469
Variance3063672.9
MonotonicityNot monotonic
2023-12-11T05:15:17.040962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1753 1
 
1.0%
3207 1
 
1.0%
1892 1
 
1.0%
1704 1
 
1.0%
1649 1
 
1.0%
1291 1
 
1.0%
2140 1
 
1.0%
2275 1
 
1.0%
2483 1
 
1.0%
2346 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
10 1
1.0%
24 1
1.0%
26 1
1.0%
48 1
1.0%
55 1
1.0%
71 1
1.0%
86 1
1.0%
98 1
1.0%
161 1
1.0%
177 1
1.0%
ValueCountFrequency (%)
6107 1
1.0%
6059 1
1.0%
5966 1
1.0%
5848 1
1.0%
5692 1
1.0%
5678 1
1.0%
5656 1
1.0%
5510 1
1.0%
5505 1
1.0%
5500 1
1.0%

달성군 계
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2317.6436
Minimum6
Maximum4785
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:15:17.256342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile44
Q11116
median2661
Q33455
95-th percentile4208
Maximum4785
Range4779
Interquartile range (IQR)2339

Descriptive statistics

Standard deviation1380.99
Coefficient of variation (CV)0.59585951
Kurtosis-1.0597944
Mean2317.6436
Median Absolute Deviation (MAD)1078
Skewness-0.26463846
Sum234082
Variance1907133.3
MonotonicityNot monotonic
2023-12-11T05:15:17.504339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3036 2
 
2.0%
52 2
 
2.0%
4747 2
 
2.0%
2661 1
 
1.0%
2254 1
 
1.0%
1271 1
 
1.0%
1215 1
 
1.0%
1136 1
 
1.0%
971 1
 
1.0%
1434 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
6 1
1.0%
11 1
1.0%
15 1
1.0%
21 1
1.0%
27 1
1.0%
44 1
1.0%
52 2
2.0%
87 1
1.0%
98 1
1.0%
170 1
1.0%
ValueCountFrequency (%)
4785 1
1.0%
4747 2
2.0%
4373 1
1.0%
4277 1
1.0%
4208 1
1.0%
4008 1
1.0%
4003 1
1.0%
3979 1
1.0%
3969 1
1.0%
3946 1
1.0%

달성군 남
Real number (ℝ)

Distinct97
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1180.6436
Minimum0
Maximum2498
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:15:17.728989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q1469
median1347
Q31822
95-th percentile2161
Maximum2498
Range2498
Interquartile range (IQR)1353

Descriptive statistics

Standard deviation741.70858
Coefficient of variation (CV)0.62822396
Kurtosis-1.179678
Mean1180.6436
Median Absolute Deviation (MAD)578
Skewness-0.29960275
Sum119245
Variance550131.61
MonotonicityNot monotonic
2023-12-11T05:15:17.961031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1544 3
 
3.0%
2 2
 
2.0%
10 2
 
2.0%
1368 1
 
1.0%
1065 1
 
1.0%
533 1
 
1.0%
469 1
 
1.0%
691 1
 
1.0%
821 1
 
1.0%
895 1
 
1.0%
Other values (87) 87
86.1%
ValueCountFrequency (%)
0 1
1.0%
2 2
2.0%
5 1
1.0%
9 1
1.0%
10 2
2.0%
14 1
1.0%
18 1
1.0%
22 1
1.0%
34 1
1.0%
44 1
1.0%
ValueCountFrequency (%)
2498 1
1.0%
2433 1
1.0%
2407 1
1.0%
2186 1
1.0%
2184 1
1.0%
2161 1
1.0%
2133 1
1.0%
2097 1
1.0%
2095 1
1.0%
2073 1
1.0%

달성군 여
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1137
Minimum6
Maximum2340
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T05:15:18.260471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile34
Q1678
median1215
Q31654
95-th percentile2075
Maximum2340
Range2334
Interquartile range (IQR)976

Descriptive statistics

Standard deviation644.97265
Coefficient of variation (CV)0.56725827
Kurtosis-0.90831095
Mean1137
Median Absolute Deviation (MAD)534
Skewness-0.21611347
Sum114837
Variance415989.72
MonotonicityNot monotonic
2023-12-11T05:15:18.524086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1827 2
 
2.0%
1492 2
 
2.0%
1170 1
 
1.0%
764 1
 
1.0%
722 1
 
1.0%
678 1
 
1.0%
603 1
 
1.0%
502 1
 
1.0%
743 1
 
1.0%
847 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
6 1
1.0%
9 1
1.0%
13 1
1.0%
16 1
1.0%
18 1
1.0%
34 1
1.0%
38 1
1.0%
42 1
1.0%
65 1
1.0%
80 1
1.0%
ValueCountFrequency (%)
2340 1
1.0%
2314 1
1.0%
2287 1
1.0%
2187 1
1.0%
2093 1
1.0%
2075 1
1.0%
2014 1
1.0%
1934 1
1.0%
1914 1
1.0%
1908 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
00세1615282647888556299257253813151223864431433720368352304414961548208010511029368919361753266113681293
11세19194979593996043212832933142915041079539540835424411368618751811249613181178450123452156306015441516
22세199911019397986052963093116160415121028547481824413411381719781839280714101397472724142313306715311536
33세197911006897235342762582993153314601077544533856441415377819091869292714971430471224112301291414571457
44세2076910677100925762892873139162015191148575573876446430395420511903326916751594487024752395293715461391
55세2211911295108245933322613277169315841123575548911467444412820952033367918861793537227032669303615441492
66세2216811440107285752922833104160514991163588575879474405416421941970398020361944537227602612293114911440
77세20647106739974509273236294615371409958487471797413384383119751856385719751882517926732506257013401230
88세2076110735100264842622222840146513751034522512865432433388319681915416121921969509626762420239812181180
99세2229911633106664892372522971152914421084573511928496432422622401986466324072256546228662596247612851191
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
9191세12712819906514511773913810522831212398189401492927821422447177981880
9292세110223786562125019240152881375902169149301192265217420847161872265
9393세692145547349251231810570106066135388206812630961333598521042
9494세6551395164483690177367105772165699118811129821203486521438
9595세494993953142780116939831339247515601032479891871441034
9696세29659237214174914352862231724428345110415354821516
9797세2334518819811411031163133252738434405353282415213
9898세153311228263110211019174132031727621293261129
9999세1092386817164121841417314153121541114410606
100100세 이상595132463871671103228185206565164967165194217367125527918