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

Description2017.2.28.기준 주민등록인구현황
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3077757&dataSetDetailId=30777571fd66c2683a2d&provdMethod=FILE

Alerts

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

Reproduction

Analysis started2023-09-29 01:26:58.553462
Analysis finished2023-09-29 01:26:59.936898
Duration1.38 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Text

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
2023-09-29T01:27:00.791559image/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%
2023-09-29T01:27:02.604195image/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%
Mean24599.782
Minimum125
Maximum47286
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:27:03.349729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum125
5-th percentile601
Q114265
median24665
Q335927
95-th percentile45274
Maximum47286
Range47161
Interquartile range (IQR)21662

Descriptive statistics

Standard deviation14178.748
Coefficient of variation (CV)0.57637698
Kurtosis-1.0092277
Mean24599.782
Median Absolute Deviation (MAD)11155
Skewness-0.27840896
Sum2484578
Variance2.010369 × 108
MonotonicityNot monotonic
2023-09-29T01:27:04.164191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17252 1
 
1.0%
29492 1
 
1.0%
19973 1
 
1.0%
16357 1
 
1.0%
16059 1
 
1.0%
13181 1
 
1.0%
17704 1
 
1.0%
21675 1
 
1.0%
23343 1
 
1.0%
23100 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
125 1
1.0%
134 1
1.0%
216 1
1.0%
296 1
1.0%
448 1
1.0%
601 1
1.0%
621 1
1.0%
765 1
1.0%
976 1
1.0%
1297 1
1.0%
ValueCountFrequency (%)
47286 1
1.0%
46374 1
1.0%
45921 1
1.0%
45866 1
1.0%
45812 1
1.0%
45274 1
1.0%
44929 1
1.0%
44453 1
1.0%
44293 1
1.0%
43861 1
1.0%

총계 남
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12216.723
Minimum24
Maximum23359
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:27:04.751051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile135
Q15979
median12863
Q318556
95-th percentile22392
Maximum23359
Range23335
Interquartile range (IQR)12577

Descriptive statistics

Standard deviation7381.4766
Coefficient of variation (CV)0.60421086
Kurtosis-1.1640691
Mean12216.723
Median Absolute Deviation (MAD)5858
Skewness-0.33613177
Sum1233889
Variance54486196
MonotonicityNot monotonic
2023-09-29T01:27:05.656908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8801 1
 
1.0%
13749 1
 
1.0%
8822 1
 
1.0%
6892 1
 
1.0%
7011 1
 
1.0%
5979 1
 
1.0%
8097 1
 
1.0%
9930 1
 
1.0%
10708 1
 
1.0%
10890 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
24 1
1.0%
26 1
1.0%
38 1
1.0%
58 1
1.0%
86 1
1.0%
135 1
1.0%
137 1
1.0%
165 1
1.0%
205 1
1.0%
299 1
1.0%
ValueCountFrequency (%)
23359 1
1.0%
22673 1
1.0%
22604 1
1.0%
22539 1
1.0%
22416 1
1.0%
22392 1
1.0%
21981 1
1.0%
21877 1
1.0%
21609 1
1.0%
21369 1
1.0%

총계 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12383.059
Minimum99
Maximum23927
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:27:06.488502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99
5-th percentile464
Q18451
median12635
Q317898
95-th percentile23052
Maximum23927
Range23828
Interquartile range (IQR)9447

Descriptive statistics

Standard deviation6882.1195
Coefficient of variation (CV)0.55576892
Kurtosis-0.83970725
Mean12383.059
Median Absolute Deviation (MAD)5122
Skewness-0.18818304
Sum1250689
Variance47363569
MonotonicityNot monotonic
2023-09-29T01:27:08.371527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17898 2
 
2.0%
8451 1
 
1.0%
12835 1
 
1.0%
11151 1
 
1.0%
9465 1
 
1.0%
9048 1
 
1.0%
7202 1
 
1.0%
9607 1
 
1.0%
11745 1
 
1.0%
12635 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
99 1
1.0%
110 1
1.0%
178 1
1.0%
238 1
1.0%
362 1
1.0%
464 1
1.0%
486 1
1.0%
600 1
1.0%
771 1
1.0%
998 1
1.0%
ValueCountFrequency (%)
23927 1
1.0%
23770 1
1.0%
23450 1
1.0%
23273 1
1.0%
23248 1
1.0%
23052 1
1.0%
22928 1
1.0%
22882 1
1.0%
22472 1
1.0%
22252 1
1.0%

중구 계
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean787.34653
Minimum7
Maximum1390
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:27:10.060025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile37
Q1492
median855
Q31140
95-th percentile1293
Maximum1390
Range1383
Interquartile range (IQR)648

Descriptive statistics

Standard deviation417.19411
Coefficient of variation (CV)0.52987356
Kurtosis-1.0551174
Mean787.34653
Median Absolute Deviation (MAD)330
Skewness-0.43781926
Sum79522
Variance174050.93
MonotonicityNot monotonic
2023-09-29T01:27:12.101261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 2
 
2.0%
955 2
 
2.0%
628 1
 
1.0%
1126 1
 
1.0%
799 1
 
1.0%
671 1
 
1.0%
807 1
 
1.0%
975 1
 
1.0%
1066 1
 
1.0%
928 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
7 1
1.0%
11 2
2.0%
28 1
1.0%
30 1
1.0%
37 1
1.0%
46 1
1.0%
53 1
1.0%
72 1
1.0%
87 1
1.0%
98 1
1.0%
ValueCountFrequency (%)
1390 1
1.0%
1378 1
1.0%
1337 1
1.0%
1324 1
1.0%
1309 1
1.0%
1293 1
1.0%
1286 1
1.0%
1283 1
1.0%
1272 1
1.0%
1258 1
1.0%

중구 남
Real number (ℝ)

Distinct96
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean382.73267
Minimum0
Maximum700
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:27:12.927441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q1242
median406
Q3587
95-th percentile651
Maximum700
Range700
Interquartile range (IQR)345

Descriptive statistics

Standard deviation216.85571
Coefficient of variation (CV)0.56659837
Kurtosis-1.1172847
Mean382.73267
Median Absolute Deviation (MAD)170
Skewness-0.38221264
Sum38656
Variance47026.398
MonotonicityNot monotonic
2023-09-29T01:27:14.104300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
301 2
 
2.0%
280 2
 
2.0%
602 2
 
2.0%
598 2
 
2.0%
87 2
 
2.0%
329 1
 
1.0%
435 1
 
1.0%
343 1
 
1.0%
417 1
 
1.0%
361 1
 
1.0%
Other values (86) 86
85.1%
ValueCountFrequency (%)
0 1
1.0%
2 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
9 1
1.0%
10 1
1.0%
13 1
1.0%
15 1
1.0%
17 1
1.0%
ValueCountFrequency (%)
700 1
1.0%
674 1
1.0%
663 1
1.0%
661 1
1.0%
652 1
1.0%
651 1
1.0%
650 1
1.0%
644 1
1.0%
640 1
1.0%
633 1
1.0%

중구 여
Real number (ℝ)

Distinct94
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean404.61386
Minimum7
Maximum728
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:27:15.043867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile31
Q1243
median469
Q3579
95-th percentile665
Maximum728
Range721
Interquartile range (IQR)336

Descriptive statistics

Standard deviation204.71917
Coefficient of variation (CV)0.50596184
Kurtosis-0.99196382
Mean404.61386
Median Absolute Deviation (MAD)155
Skewness-0.4403989
Sum40866
Variance41909.939
MonotonicityNot monotonic
2023-09-29T01:27:15.744341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
243 2
 
2.0%
657 2
 
2.0%
7 2
 
2.0%
546 2
 
2.0%
579 2
 
2.0%
563 2
 
2.0%
622 2
 
2.0%
522 1
 
1.0%
538 1
 
1.0%
435 1
 
1.0%
Other values (84) 84
83.2%
ValueCountFrequency (%)
7 2
2.0%
9 1
1.0%
18 1
1.0%
25 1
1.0%
31 1
1.0%
33 1
1.0%
44 1
1.0%
57 1
1.0%
70 1
1.0%
77 1
1.0%
ValueCountFrequency (%)
728 1
1.0%
716 1
1.0%
693 1
1.0%
671 1
1.0%
670 1
1.0%
665 1
1.0%
657 2
2.0%
648 1
1.0%
640 1
1.0%
631 1
1.0%

동구 계
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3481.5941
Minimum24
Maximum6760
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:27:16.648774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile82
Q12445
median3716
Q35182
95-th percentile5877
Maximum6760
Range6736
Interquartile range (IQR)2737

Descriptive statistics

Standard deviation1902.5327
Coefficient of variation (CV)0.5464545
Kurtosis-0.87644863
Mean3481.5941
Median Absolute Deviation (MAD)1386
Skewness-0.40369538
Sum351641
Variance3619630.8
MonotonicityNot monotonic
2023-09-29T01:27:17.630345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5666 2
 
2.0%
2661 1
 
1.0%
4799 1
 
1.0%
3394 1
 
1.0%
2895 1
 
1.0%
2756 1
 
1.0%
2330 1
 
1.0%
3046 1
 
1.0%
3738 1
 
1.0%
3959 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
24 1
1.0%
26 1
1.0%
34 1
1.0%
46 1
1.0%
71 1
1.0%
82 1
1.0%
107 1
1.0%
117 1
1.0%
175 1
1.0%
198 1
1.0%
ValueCountFrequency (%)
6760 1
1.0%
6448 1
1.0%
6433 1
1.0%
5941 1
1.0%
5885 1
1.0%
5877 1
1.0%
5820 1
1.0%
5805 1
1.0%
5794 1
1.0%
5751 1
1.0%

동구 남
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1729.7624
Minimum4
Maximum3234
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:27:18.290670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile19
Q11062
median1853
Q32620
95-th percentile2965
Maximum3234
Range3230
Interquartile range (IQR)1558

Descriptive statistics

Standard deviation992.59662
Coefficient of variation (CV)0.57383409
Kurtosis-1.0312205
Mean1729.7624
Median Absolute Deviation (MAD)791
Skewness-0.44944175
Sum174706
Variance985248.04
MonotonicityNot monotonic
2023-09-29T01:27:19.062637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 2
 
2.0%
1320 1
 
1.0%
2022 1
 
1.0%
1212 1
 
1.0%
1207 1
 
1.0%
1062 1
 
1.0%
1365 1
 
1.0%
1762 1
 
1.0%
1796 1
 
1.0%
1853 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
4 1
1.0%
9 2
2.0%
11 1
1.0%
14 1
1.0%
19 1
1.0%
20 1
1.0%
21 1
1.0%
34 1
1.0%
43 1
1.0%
54 1
1.0%
ValueCountFrequency (%)
3234 1
1.0%
3065 1
1.0%
3033 1
1.0%
2994 1
1.0%
2989 1
1.0%
2965 1
1.0%
2941 1
1.0%
2933 1
1.0%
2928 1
1.0%
2925 1
1.0%

동구 여
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1751.8317
Minimum15
Maximum3526
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:27:19.810737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile61
Q11244
median1820
Q32505
95-th percentile3002
Maximum3526
Range3511
Interquartile range (IQR)1261

Descriptive statistics

Standard deviation927.92142
Coefficient of variation (CV)0.5296864
Kurtosis-0.70850227
Mean1751.8317
Median Absolute Deviation (MAD)633
Skewness-0.29366817
Sum176935
Variance861038.16
MonotonicityNot monotonic
2023-09-29T01:27:20.663311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1341 1
 
1.0%
2500 1
 
1.0%
1888 1
 
1.0%
1683 1
 
1.0%
1549 1
 
1.0%
1268 1
 
1.0%
1681 1
 
1.0%
1976 1
 
1.0%
2163 1
 
1.0%
2094 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
15 1
1.0%
22 1
1.0%
25 1
1.0%
32 1
1.0%
60 1
1.0%
61 1
1.0%
88 1
1.0%
97 1
1.0%
141 1
1.0%
155 1
1.0%
ValueCountFrequency (%)
3526 1
1.0%
3439 1
1.0%
3383 1
1.0%
3066 1
1.0%
3010 1
1.0%
3002 1
1.0%
2975 1
1.0%
2960 1
1.0%
2947 1
1.0%
2944 1
1.0%

서구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1965.2178
Minimum13
Maximum4481
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:27:21.363537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile49
Q11056
median2110
Q32858
95-th percentile3792
Maximum4481
Range4468
Interquartile range (IQR)1802

Descriptive statistics

Standard deviation1223.0047
Coefficient of variation (CV)0.62232524
Kurtosis-0.94294384
Mean1965.2178
Median Absolute Deviation (MAD)954
Skewness0.04178348
Sum198487
Variance1495740.4
MonotonicityNot monotonic
2023-09-29T01:27:22.094096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
982 1
 
1.0%
3189 1
 
1.0%
2109 1
 
1.0%
1703 1
 
1.0%
1714 1
 
1.0%
1309 1
 
1.0%
1839 1
 
1.0%
2254 1
 
1.0%
2533 1
 
1.0%
2480 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
13 1
1.0%
15 1
1.0%
17 1
1.0%
21 1
1.0%
35 1
1.0%
49 1
1.0%
76 1
1.0%
90 1
1.0%
92 1
1.0%
101 1
1.0%
ValueCountFrequency (%)
4481 1
1.0%
4430 1
1.0%
4342 1
1.0%
4225 1
1.0%
3948 1
1.0%
3792 1
1.0%
3686 1
1.0%
3665 1
1.0%
3655 1
1.0%
3651 1
1.0%

서구 남
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean992.50495
Minimum2
Maximum2175
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:27:22.965460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile9
Q1521
median1101
Q31528
95-th percentile1916
Maximum2175
Range2173
Interquartile range (IQR)1007

Descriptive statistics

Standard deviation644.07797
Coefficient of variation (CV)0.64894182
Kurtosis-1.1955538
Mean992.50495
Median Absolute Deviation (MAD)526
Skewness-0.069022929
Sum100243
Variance414836.43
MonotonicityNot monotonic
2023-09-29T01:27:23.498631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
581 2
 
2.0%
2 2
 
2.0%
9 2
 
2.0%
491 1
 
1.0%
1383 1
 
1.0%
759 1
 
1.0%
625 1
 
1.0%
828 1
 
1.0%
1007 1
 
1.0%
1209 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
2 2
2.0%
4 1
1.0%
5 1
1.0%
7 1
1.0%
9 2
2.0%
13 1
1.0%
23 1
1.0%
24 1
1.0%
25 1
1.0%
46 1
1.0%
ValueCountFrequency (%)
2175 1
1.0%
2167 1
1.0%
2147 1
1.0%
2062 1
1.0%
1959 1
1.0%
1916 1
1.0%
1895 1
1.0%
1871 1
1.0%
1857 1
1.0%
1848 1
1.0%

서구 여
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean972.71287
Minimum9
Maximum2314
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:27:23.883248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile40
Q1535
median983
Q31296
95-th percentile1909
Maximum2314
Range2305
Interquartile range (IQR)761

Descriptive statistics

Standard deviation592.20575
Coefficient of variation (CV)0.60881866
Kurtosis-0.6412214
Mean972.71287
Median Absolute Deviation (MAD)425
Skewness0.2168525
Sum98244
Variance350707.65
MonotonicityNot monotonic
2023-09-29T01:27:24.310140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1157 2
 
2.0%
1166 2
 
2.0%
491 1
 
1.0%
828 1
 
1.0%
965 1
 
1.0%
994 1
 
1.0%
955 1
 
1.0%
684 1
 
1.0%
1011 1
 
1.0%
1247 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
9 1
1.0%
13 1
1.0%
15 1
1.0%
16 1
1.0%
28 1
1.0%
40 1
1.0%
63 1
1.0%
67 1
1.0%
76 1
1.0%
83 1
1.0%
ValueCountFrequency (%)
2314 1
1.0%
2283 1
1.0%
2167 1
1.0%
2163 1
1.0%
1989 1
1.0%
1909 1
1.0%
1877 1
1.0%
1876 1
1.0%
1854 1
1.0%
1834 1
1.0%

남구 계
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1541.1386
Minimum15
Maximum3106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:27:25.003393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile64
Q1893
median1782
Q32249
95-th percentile2778
Maximum3106
Range3091
Interquartile range (IQR)1356

Descriptive statistics

Standard deviation864.08678
Coefficient of variation (CV)0.56068077
Kurtosis-1.0526366
Mean1541.1386
Median Absolute Deviation (MAD)708
Skewness-0.26049571
Sum155655
Variance746645.96
MonotonicityNot monotonic
2023-09-29T01:27:25.707821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
922 2
 
2.0%
912 2
 
2.0%
770 1
 
1.0%
2354 1
 
1.0%
1795 1
 
1.0%
1512 1
 
1.0%
1427 1
 
1.0%
1185 1
 
1.0%
1602 1
 
1.0%
1893 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
15 1
1.0%
16 1
1.0%
28 1
1.0%
31 1
1.0%
35 1
1.0%
64 1
1.0%
74 1
1.0%
75 1
1.0%
87 1
1.0%
111 1
1.0%
ValueCountFrequency (%)
3106 1
1.0%
3080 1
1.0%
2909 1
1.0%
2823 1
1.0%
2812 1
1.0%
2778 1
1.0%
2684 1
1.0%
2623 1
1.0%
2620 1
1.0%
2612 1
1.0%

남구 남
Real number (ℝ)

Distinct96
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean749.27723
Minimum2
Maximum1425
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:27:26.501767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile15
Q1438
median826
Q31129
95-th percentile1334
Maximum1425
Range1423
Interquartile range (IQR)691

Descriptive statistics

Standard deviation439.04519
Coefficient of variation (CV)0.58595828
Kurtosis-1.1995506
Mean749.27723
Median Absolute Deviation (MAD)344
Skewness-0.30107927
Sum75677
Variance192760.68
MonotonicityNot monotonic
2023-09-29T01:27:27.209446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448 2
 
2.0%
486 2
 
2.0%
1028 2
 
2.0%
2 2
 
2.0%
21 2
 
2.0%
974 1
 
1.0%
688 1
 
1.0%
859 1
 
1.0%
910 1
 
1.0%
929 1
 
1.0%
Other values (86) 86
85.1%
ValueCountFrequency (%)
2 2
2.0%
3 1
1.0%
7 1
1.0%
9 1
1.0%
15 1
1.0%
16 1
1.0%
17 1
1.0%
21 2
2.0%
40 1
1.0%
74 1
1.0%
ValueCountFrequency (%)
1425 1
1.0%
1404 1
1.0%
1403 1
1.0%
1362 1
1.0%
1352 1
1.0%
1334 1
1.0%
1314 1
1.0%
1300 1
1.0%
1289 1
1.0%
1282 1
1.0%

남구 여
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean791.86139
Minimum13
Maximum1681
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:27:27.984588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile48
Q1426
median886
Q31123
95-th percentile1444
Maximum1681
Range1668
Interquartile range (IQR)697

Descriptive statistics

Standard deviation434.61461
Coefficient of variation (CV)0.54885188
Kurtosis-0.88610556
Mean791.86139
Median Absolute Deviation (MAD)362
Skewness-0.1623706
Sum79978
Variance188889.86
MonotonicityNot monotonic
2023-09-29T01:27:28.914654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13 2
 
2.0%
1123 2
 
2.0%
381 1
 
1.0%
1288 1
 
1.0%
872 1
 
1.0%
810 1
 
1.0%
699 1
 
1.0%
914 1
 
1.0%
1034 1
 
1.0%
1159 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
13 2
2.0%
21 1
1.0%
26 1
1.0%
29 1
1.0%
48 1
1.0%
58 1
1.0%
59 1
1.0%
66 1
1.0%
90 1
1.0%
112 1
1.0%
ValueCountFrequency (%)
1681 1
1.0%
1676 1
1.0%
1506 1
1.0%
1498 1
1.0%
1461 1
1.0%
1444 1
1.0%
1440 1
1.0%
1395 1
1.0%
1345 1
1.0%
1323 1
1.0%

북구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4355.3168
Minimum8
Maximum8755
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:27:30.139836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile74
Q12354
median4456
Q36598
95-th percentile8226
Maximum8755
Range8747
Interquartile range (IQR)4244

Descriptive statistics

Standard deviation2608.4351
Coefficient of variation (CV)0.59890824
Kurtosis-1.0448219
Mean4355.3168
Median Absolute Deviation (MAD)2142
Skewness-0.21675894
Sum439887
Variance6803933.8
MonotonicityNot monotonic
2023-09-29T01:27:31.177572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3374 1
 
1.0%
4456 1
 
1.0%
3240 1
 
1.0%
2514 1
 
1.0%
2581 1
 
1.0%
2054 1
 
1.0%
2720 1
 
1.0%
3406 1
 
1.0%
3675 1
 
1.0%
3654 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
8 1
1.0%
17 1
1.0%
32 1
1.0%
54 1
1.0%
64 1
1.0%
74 1
1.0%
89 1
1.0%
114 1
1.0%
121 1
1.0%
186 1
1.0%
ValueCountFrequency (%)
8755 1
1.0%
8628 1
1.0%
8559 1
1.0%
8527 1
1.0%
8405 1
1.0%
8226 1
1.0%
8010 1
1.0%
7945 1
1.0%
7914 1
1.0%
7866 1
1.0%

북구 남
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2177.9406
Minimum1
Maximum4410
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:27:32.113452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile16
Q1959
median2335
Q33337
95-th percentile4018
Maximum4410
Range4409
Interquartile range (IQR)2378

Descriptive statistics

Standard deviation1366.8803
Coefficient of variation (CV)0.62760222
Kurtosis-1.1997349
Mean2177.9406
Median Absolute Deviation (MAD)1101
Skewness-0.2677745
Sum219972
Variance1868361.9
MonotonicityNot monotonic
2023-09-29T01:27:32.948527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2842 2
 
2.0%
1680 1
 
1.0%
1867 1
 
1.0%
1479 1
 
1.0%
1033 1
 
1.0%
1046 1
 
1.0%
949 1
 
1.0%
1257 1
 
1.0%
1512 1
 
1.0%
1656 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
4 1
1.0%
9 1
1.0%
12 1
1.0%
16 1
1.0%
17 1
1.0%
18 1
1.0%
30 1
1.0%
32 1
1.0%
ValueCountFrequency (%)
4410 1
1.0%
4279 1
1.0%
4242 1
1.0%
4235 1
1.0%
4126 1
1.0%
4018 1
1.0%
3977 1
1.0%
3956 1
1.0%
3950 1
1.0%
3883 1
1.0%

북구 여
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2177.3762
Minimum7
Maximum4349
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:27:35.287416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile56
Q11395
median2164
Q33081
95-th percentile4276
Maximum4349
Range4342
Interquartile range (IQR)1686

Descriptive statistics

Standard deviation1255.3223
Coefficient of variation (CV)0.57652982
Kurtosis-0.86107901
Mean2177.3762
Median Absolute Deviation (MAD)904
Skewness-0.1336991
Sum219915
Variance1575834.2
MonotonicityNot monotonic
2023-09-29T01:27:36.130033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1694 1
 
1.0%
2364 1
 
1.0%
1761 1
 
1.0%
1481 1
 
1.0%
1535 1
 
1.0%
1105 1
 
1.0%
1463 1
 
1.0%
1894 1
 
1.0%
2019 1
 
1.0%
1952 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
7 1
1.0%
13 1
1.0%
30 1
1.0%
45 1
1.0%
52 1
1.0%
56 1
1.0%
73 1
1.0%
91 1
1.0%
97 1
1.0%
154 1
1.0%
ValueCountFrequency (%)
4349 1
1.0%
4345 1
1.0%
4324 1
1.0%
4285 1
1.0%
4279 1
1.0%
4276 1
1.0%
4054 1
1.0%
4033 1
1.0%
4031 1
1.0%
3968 1
1.0%

수성구 계
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4419.8119
Minimum20
Maximum9483
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:27:37.215030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile107
Q12413
median4562
Q36482
95-th percentile8791
Maximum9483
Range9463
Interquartile range (IQR)4069

Descriptive statistics

Standard deviation2685.5876
Coefficient of variation (CV)0.60762486
Kurtosis-0.97967262
Mean4419.8119
Median Absolute Deviation (MAD)2132
Skewness-0.039100538
Sum446401
Variance7212380.6
MonotonicityNot monotonic
2023-09-29T01:27:38.061672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7614 2
 
2.0%
2205 1
 
1.0%
2413 1
 
1.0%
2762 1
 
1.0%
3344 1
 
1.0%
2828 1
 
1.0%
2652 1
 
1.0%
2194 1
 
1.0%
2944 1
 
1.0%
3597 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
20 1
1.0%
28 1
1.0%
39 1
1.0%
51 1
1.0%
84 1
1.0%
107 1
1.0%
111 1
1.0%
140 1
1.0%
175 1
1.0%
296 1
1.0%
ValueCountFrequency (%)
9483 1
1.0%
9443 1
1.0%
9327 1
1.0%
9278 1
1.0%
8860 1
1.0%
8791 1
1.0%
8330 1
1.0%
7959 1
1.0%
7942 1
1.0%
7908 1
1.0%

수성구 남
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2157.7624
Minimum4
Maximum4553
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:27:39.156140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile21
Q11012
median2257
Q33311
95-th percentile4132
Maximum4553
Range4549
Interquartile range (IQR)2299

Descriptive statistics

Standard deviation1364.2891
Coefficient of variation (CV)0.63227031
Kurtosis-1.1584104
Mean2157.7624
Median Absolute Deviation (MAD)1235
Skewness-0.10744302
Sum217934
Variance1861284.7
MonotonicityNot monotonic
2023-09-29T01:27:40.177797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3311 2
 
2.0%
7 2
 
2.0%
21 2
 
2.0%
2129 1
 
1.0%
1203 1
 
1.0%
1180 1
 
1.0%
988 1
 
1.0%
1324 1
 
1.0%
1621 1
 
1.0%
1683 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
4 1
1.0%
5 1
1.0%
7 2
2.0%
21 2
2.0%
26 1
1.0%
34 1
1.0%
44 1
1.0%
79 1
1.0%
98 1
1.0%
123 1
1.0%
ValueCountFrequency (%)
4553 1
1.0%
4369 1
1.0%
4343 1
1.0%
4338 1
1.0%
4284 1
1.0%
4132 1
1.0%
3964 1
1.0%
3942 1
1.0%
3941 1
1.0%
3936 1
1.0%

수성구 여
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2262.0495
Minimum16
Maximum5114
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:27:40.895384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile85
Q11296
median2187
Q33235
95-th percentile4702
Maximum5114
Range5098
Interquartile range (IQR)1939

Descriptive statistics

Standard deviation1349.4226
Coefficient of variation (CV)0.59654866
Kurtosis-0.68827227
Mean2262.0495
Median Absolute Deviation (MAD)966
Skewness0.12295817
Sum228467
Variance1820941.4
MonotonicityNot monotonic
2023-09-29T01:27:42.014742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1060 1
 
1.0%
2538 1
 
1.0%
1852 1
 
1.0%
1625 1
 
1.0%
1472 1
 
1.0%
1206 1
 
1.0%
1620 1
 
1.0%
1976 1
 
1.0%
2066 1
 
1.0%
2023 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
16 1
1.0%
23 1
1.0%
32 1
1.0%
44 1
1.0%
63 1
1.0%
85 1
1.0%
86 1
1.0%
106 1
1.0%
131 1
1.0%
217 1
1.0%
ValueCountFrequency (%)
5114 1
1.0%
4984 1
1.0%
4940 1
1.0%
4890 1
1.0%
4849 1
1.0%
4702 1
1.0%
4576 1
1.0%
4372 1
1.0%
4045 1
1.0%
4019 1
1.0%

달서구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5844.1188
Minimum14
Maximum11848
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:27:43.887933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile79
Q12609
median6116
Q38814
95-th percentile11159
Maximum11848
Range11834
Interquartile range (IQR)6205

Descriptive statistics

Standard deviation3612.0592
Coefficient of variation (CV)0.61806737
Kurtosis-1.1730256
Mean5844.1188
Median Absolute Deviation (MAD)2910
Skewness-0.17900143
Sum590256
Variance13046971
MonotonicityNot monotonic
2023-09-29T01:27:45.710228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4090 1
 
1.0%
6486 1
 
1.0%
3748 1
 
1.0%
2969 1
 
1.0%
3001 1
 
1.0%
2458 1
 
1.0%
3535 1
 
1.0%
4263 1
 
1.0%
4559 1
 
1.0%
4588 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
14 1
1.0%
27 1
1.0%
35 1
1.0%
43 1
1.0%
69 1
1.0%
79 1
1.0%
126 1
1.0%
131 1
1.0%
205 1
1.0%
228 1
1.0%
ValueCountFrequency (%)
11848 1
1.0%
11481 1
1.0%
11427 1
1.0%
11267 1
1.0%
11259 1
1.0%
11159 1
1.0%
11052 1
1.0%
11041 1
1.0%
10790 1
1.0%
10729 1
1.0%

달서구 남
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2903.703
Minimum3
Maximum5663
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:27:46.303440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile14
Q11126
median3001
Q34414
95-th percentile5337
Maximum5663
Range5660
Interquartile range (IQR)3288

Descriptive statistics

Standard deviation1856.8929
Coefficient of variation (CV)0.63949132
Kurtosis-1.3022801
Mean2903.703
Median Absolute Deviation (MAD)1671
Skewness-0.26582586
Sum293274
Variance3448051.1
MonotonicityNot monotonic
2023-09-29T01:27:46.996767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14 2
 
2.0%
2142 1
 
1.0%
2856 1
 
1.0%
1259 1
 
1.0%
1330 1
 
1.0%
1126 1
 
1.0%
1705 1
 
1.0%
1987 1
 
1.0%
2167 1
 
1.0%
2194 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
3 1
1.0%
4 1
1.0%
5 1
1.0%
7 1
1.0%
14 2
2.0%
29 1
1.0%
36 1
1.0%
44 1
1.0%
57 1
1.0%
76 1
1.0%
ValueCountFrequency (%)
5663 1
1.0%
5656 1
1.0%
5544 1
1.0%
5486 1
1.0%
5466 1
1.0%
5337 1
1.0%
5332 1
1.0%
5323 1
1.0%
5201 1
1.0%
5184 1
1.0%

달서구 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2940.4158
Minimum11
Maximum6192
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:27:47.806380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile65
Q11584
median2942
Q34312
95-th percentile5764
Maximum6192
Range6181
Interquartile range (IQR)2728

Descriptive statistics

Standard deviation1776.2114
Coefficient of variation (CV)0.60406811
Kurtosis-0.98544417
Mean2940.4158
Median Absolute Deviation (MAD)1370
Skewness-0.043247223
Sum296982
Variance3154927.1
MonotonicityNot monotonic
2023-09-29T01:27:48.527004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5528 2
 
2.0%
1948 1
 
1.0%
3485 1
 
1.0%
2145 1
 
1.0%
1710 1
 
1.0%
1671 1
 
1.0%
1332 1
 
1.0%
1830 1
 
1.0%
2276 1
 
1.0%
2392 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
11 1
1.0%
23 1
1.0%
30 1
1.0%
36 1
1.0%
55 1
1.0%
65 1
1.0%
95 1
1.0%
97 1
1.0%
161 1
1.0%
171 1
1.0%
ValueCountFrequency (%)
6192 1
1.0%
5937 1
1.0%
5935 1
1.0%
5822 1
1.0%
5793 1
1.0%
5764 1
1.0%
5729 1
1.0%
5726 1
1.0%
5555 1
1.0%
5528 2
2.0%

달성군 계
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2205.2376
Minimum8
Maximum4402
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:27:49.168839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile27
Q11042
median2480
Q33157
95-th percentile3847
Maximum4402
Range4394
Interquartile range (IQR)2115

Descriptive statistics

Standard deviation1308.7812
Coefficient of variation (CV)0.59348761
Kurtosis-1.0768428
Mean2205.2376
Median Absolute Deviation (MAD)1157
Skewness-0.2762414
Sum222729
Variance1712908.2
MonotonicityNot monotonic
2023-09-29T01:27:50.192210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3847 2
 
2.0%
2756 2
 
2.0%
1042 1
 
1.0%
1209 1
 
1.0%
1388 1
 
1.0%
1140 1
 
1.0%
1129 1
 
1.0%
980 1
 
1.0%
1211 1
 
1.0%
1549 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
8 1
1.0%
10 1
1.0%
20 1
1.0%
22 1
1.0%
26 1
1.0%
27 1
1.0%
52 1
1.0%
67 1
1.0%
68 1
1.0%
105 1
1.0%
ValueCountFrequency (%)
4402 1
1.0%
4400 1
1.0%
4308 1
1.0%
4266 1
1.0%
3864 1
1.0%
3847 2
2.0%
3836 1
1.0%
3835 1
1.0%
3821 1
1.0%
3816 1
1.0%

달성군 남
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1123.0396
Minimum1
Maximum2315
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:27:51.012446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9
Q1467
median1304
Q31650
95-th percentile2027
Maximum2315
Range2314
Interquartile range (IQR)1183

Descriptive statistics

Standard deviation703.77484
Coefficient of variation (CV)0.62666965
Kurtosis-1.2036039
Mean1123.0396
Median Absolute Deviation (MAD)541
Skewness-0.31465674
Sum113427
Variance495299.02
MonotonicityNot monotonic
2023-09-29T01:27:51.819732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 2
 
2.0%
1305 1
 
1.0%
979 1
 
1.0%
475 1
 
1.0%
542 1
 
1.0%
467 1
 
1.0%
574 1
 
1.0%
753 1
 
1.0%
852 1
 
1.0%
866 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
1 1
1.0%
2 2
2.0%
4 1
1.0%
7 1
1.0%
9 1
1.0%
11 1
1.0%
14 1
1.0%
17 1
1.0%
23 1
1.0%
27 1
1.0%
ValueCountFrequency (%)
2315 1
1.0%
2218 1
1.0%
2203 1
1.0%
2092 1
1.0%
2031 1
1.0%
2027 1
1.0%
2020 1
1.0%
1988 1
1.0%
1983 1
1.0%
1982 1
1.0%

달성군 여
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1082.198
Minimum7
Maximum2184
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:27:52.493133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile20
Q1637
median1155
Q31518
95-th percentile1887
Maximum2184
Range2177
Interquartile range (IQR)881

Descriptive statistics

Standard deviation611.08648
Coefficient of variation (CV)0.56467159
Kurtosis-0.91273517
Mean1082.198
Median Absolute Deviation (MAD)505
Skewness-0.22058443
Sum109302
Variance373426.68
MonotonicityNot monotonic
2023-09-29T01:27:53.224866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18 2
 
2.0%
1189 2
 
2.0%
1237 1
 
1.0%
1157 1
 
1.0%
800 1
 
1.0%
665 1
 
1.0%
587 1
 
1.0%
513 1
 
1.0%
637 1
 
1.0%
796 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
7 1
1.0%
8 1
1.0%
17 1
1.0%
18 2
2.0%
20 1
1.0%
41 1
1.0%
50 1
1.0%
54 1
1.0%
78 1
1.0%
139 1
1.0%
ValueCountFrequency (%)
2184 1
1.0%
2174 1
1.0%
2105 1
1.0%
2085 1
1.0%
1893 1
1.0%
1887 1
1.0%
1882 1
1.0%
1867 1
1.0%
1864 1
1.0%
1854 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
00세1725288018451628329299266113201341982491491770389381337416801694220511451060409021421948254213051237
11세196741007895965903012893070154715231103577526874448426378519531832269814021296472224352287283214151417
22세197711011296595802902903105161014951032536496820413407377019471823276814081360486124852376283514231412
33세19682997797055522802722994149115031175581594893456437379819301868295715371420470423642340260913381271
44세2205411349107056333492843350174016101205619586922448474417021622008353318041729532127152606292015121408
55세2158311066105175613012603182166215201133566567912495417407921321947364818441804524526402605282314261397
66세2190011289106115692812883076156715091101576525821438383412221351987396920351934551228412671273014161314
77세20229104859744466258208289215261366970481489805396409374318941849398520931892505526522403231311851128
88세2128311077102064862472392904150214021056521535889477412401520611954430922572052526027862474236412261138
99세2311611773113435292892402992151314791156581575956474482445523352120493725012436570028782822239112021189
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
9191세129729999872155719843155101257611121901863215429679217228571711052778
9292세97620577153944175341419298387216612130911754413120544161681454
9393세76516560046133311720977613637415591141797140341061313695671750
9494세621135486376318221614994075175889167311126851262997521141
9595세44886362305257111603572835926641252107218679146527720
9696세29658238281018461432215163122954945517444373622418
9797세21638178114734925172152872132230397323553020218
9898세1342411070726422134916313174132041627423817
9999세1252699112924915152131521381728523143111028
100100세 이상601137464871770107198890236764164874185684216369145526917