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

Description2018.11.30.기준 주민등록인구 현황
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3077757&dataSetDetailId=30777571f089b499f08d&provdMethod=FILE

Alerts

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

Reproduction

Analysis started2023-09-29 01:17:06.461216
Analysis finished2023-09-29 01:17:07.057023
Duration0.6 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
2023-09-29T01:17:07.654550image/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%
2023-09-29T01:17:10.544077image/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%
Mean24396.059
Minimum126
Maximum46610
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:11.211139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126
5-th percentile598
Q114273
median24663
Q335511
95-th percentile44965
Maximum46610
Range46484
Interquartile range (IQR)21238

Descriptive statistics

Standard deviation13798.926
Coefficient of variation (CV)0.5656211
Kurtosis-0.96897796
Mean24396.059
Median Absolute Deviation (MAD)10791
Skewness-0.27988628
Sum2464002
Variance1.9041036 × 108
MonotonicityNot monotonic
2023-09-29T01:17:11.913433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14068 1
 
1.0%
28332 1
 
1.0%
16098 1
 
1.0%
13862 1
 
1.0%
14273 1
 
1.0%
20616 1
 
1.0%
22249 1
 
1.0%
23113 1
 
1.0%
21961 1
 
1.0%
21795 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
126 1
1.0%
180 1
1.0%
273 1
1.0%
370 1
1.0%
490 1
1.0%
598 1
1.0%
630 1
1.0%
924 1
1.0%
1023 1
1.0%
1663 1
1.0%
ValueCountFrequency (%)
46610 1
1.0%
46247 1
1.0%
45728 1
1.0%
45457 1
1.0%
45197 1
1.0%
44965 1
1.0%
43890 1
1.0%
43730 1
1.0%
43289 1
1.0%
42616 1
1.0%

총계 남
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12085.663
Minimum24
Maximum23046
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:12.996940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile111
Q16541
median13012
Q318152
95-th percentile21810
Maximum23046
Range23022
Interquartile range (IQR)11611

Descriptive statistics

Standard deviation7161.1242
Coefficient of variation (CV)0.59253051
Kurtosis-1.1212177
Mean12085.663
Median Absolute Deviation (MAD)5832
Skewness-0.3453883
Sum1220652
Variance51281700
MonotonicityNot monotonic
2023-09-29T01:17:13.778524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7120 1
 
1.0%
13726 1
 
1.0%
6849 1
 
1.0%
6060 1
 
1.0%
6541 1
 
1.0%
9219 1
 
1.0%
10169 1
 
1.0%
10650 1
 
1.0%
10373 1
 
1.0%
10193 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
24 1
1.0%
39 1
1.0%
46 1
1.0%
77 1
1.0%
106 1
1.0%
111 1
1.0%
145 1
1.0%
202 1
1.0%
217 1
1.0%
383 1
1.0%
ValueCountFrequency (%)
23046 1
1.0%
22562 1
1.0%
22508 1
1.0%
22157 1
1.0%
22118 1
1.0%
21810 1
1.0%
21721 1
1.0%
21428 1
1.0%
21113 1
1.0%
20831 1
1.0%

총계 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12310.396
Minimum102
Maximum23685
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:15.104064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum102
5-th percentile485
Q17965
median12204
Q317828
95-th percentile22847
Maximum23685
Range23583
Interquartile range (IQR)9863

Descriptive statistics

Standard deviation6721.652
Coefficient of variation (CV)0.54601428
Kurtosis-0.80745644
Mean12310.396
Median Absolute Deviation (MAD)4402
Skewness-0.18464082
Sum1243350
Variance45180605
MonotonicityNot monotonic
2023-09-29T01:17:16.466326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9801 2
 
2.0%
6948 1
 
1.0%
14479 1
 
1.0%
9587 1
 
1.0%
9249 1
 
1.0%
7802 1
 
1.0%
7732 1
 
1.0%
11397 1
 
1.0%
12080 1
 
1.0%
12463 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
102 1
1.0%
141 1
1.0%
227 1
1.0%
293 1
1.0%
379 1
1.0%
485 1
1.0%
492 1
1.0%
722 1
1.0%
806 1
1.0%
1280 1
1.0%
ValueCountFrequency (%)
23685 1
1.0%
23564 1
1.0%
23387 1
1.0%
23300 1
1.0%
23220 1
1.0%
22847 1
1.0%
22617 1
1.0%
22169 1
1.0%
21944 1
1.0%
21861 1
1.0%

중구 계
Real number (ℝ)

Distinct97
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean787.60396
Minimum7
Maximum1398
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:18.581875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile36
Q1517
median870
Q31158
95-th percentile1306
Maximum1398
Range1391
Interquartile range (IQR)641

Descriptive statistics

Standard deviation413.51888
Coefficient of variation (CV)0.52503402
Kurtosis-1.0299294
Mean787.60396
Median Absolute Deviation (MAD)328
Skewness-0.41985921
Sum79548
Variance170997.86
MonotonicityNot monotonic
2023-09-29T01:17:21.431960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
517 2
 
2.0%
1179 2
 
2.0%
1260 2
 
2.0%
122 2
 
2.0%
1100 1
 
1.0%
1080 1
 
1.0%
789 1
 
1.0%
645 1
 
1.0%
669 1
 
1.0%
883 1
 
1.0%
Other values (87) 87
86.1%
ValueCountFrequency (%)
7 1
1.0%
18 1
1.0%
20 1
1.0%
21 1
1.0%
35 1
1.0%
36 1
1.0%
41 1
1.0%
57 1
1.0%
85 1
1.0%
101 1
1.0%
ValueCountFrequency (%)
1398 1
1.0%
1346 1
1.0%
1344 1
1.0%
1323 1
1.0%
1317 1
1.0%
1306 1
1.0%
1286 1
1.0%
1282 1
1.0%
1270 1
1.0%
1260 2
2.0%

중구 남
Real number (ℝ)

Distinct92
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean381.67327
Minimum1
Maximum689
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:22.599775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q1238
median384
Q3576
95-th percentile656
Maximum689
Range688
Interquartile range (IQR)338

Descriptive statistics

Standard deviation215.38441
Coefficient of variation (CV)0.56431619
Kurtosis-1.1111698
Mean381.67327
Median Absolute Deviation (MAD)182
Skewness-0.3434521
Sum38549
Variance46390.442
MonotonicityNot monotonic
2023-09-29T01:17:24.139863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
676 2
 
2.0%
346 2
 
2.0%
613 2
 
2.0%
632 2
 
2.0%
10 2
 
2.0%
536 2
 
2.0%
328 2
 
2.0%
290 2
 
2.0%
316 2
 
2.0%
267 1
 
1.0%
Other values (82) 82
81.2%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
4 1
1.0%
7 1
1.0%
9 1
1.0%
10 2
2.0%
14 1
1.0%
15 1
1.0%
24 1
1.0%
30 1
1.0%
ValueCountFrequency (%)
689 1
1.0%
676 2
2.0%
663 1
1.0%
662 1
1.0%
656 1
1.0%
651 1
1.0%
650 1
1.0%
642 1
1.0%
641 1
1.0%
639 1
1.0%

중구 여
Real number (ℝ)

Distinct91
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean405.93069
Minimum5
Maximum712
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:25.092949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile26
Q1252
median461
Q3584
95-th percentile667
Maximum712
Range707
Interquartile range (IQR)332

Descriptive statistics

Standard deviation202.36661
Coefficient of variation (CV)0.49852503
Kurtosis-0.95684766
Mean405.93069
Median Absolute Deviation (MAD)149
Skewness-0.4606149
Sum40999
Variance40952.245
MonotonicityNot monotonic
2023-09-29T01:17:25.888975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
616 3
 
3.0%
606 3
 
3.0%
544 2
 
2.0%
594 2
 
2.0%
26 2
 
2.0%
531 2
 
2.0%
230 2
 
2.0%
362 2
 
2.0%
433 1
 
1.0%
461 1
 
1.0%
Other values (81) 81
80.2%
ValueCountFrequency (%)
5 1
1.0%
11 1
1.0%
17 1
1.0%
19 1
1.0%
26 2
2.0%
31 1
1.0%
43 1
1.0%
70 1
1.0%
77 1
1.0%
85 1
1.0%
ValueCountFrequency (%)
712 1
1.0%
709 1
1.0%
696 1
1.0%
671 1
1.0%
668 1
1.0%
667 1
1.0%
666 1
1.0%
657 1
1.0%
647 1
1.0%
635 1
1.0%

동구 계
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3479.0099
Minimum26
Maximum6644
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:26.776169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26
5-th percentile110
Q12451
median3686
Q35113
95-th percentile5872
Maximum6644
Range6618
Interquartile range (IQR)2662

Descriptive statistics

Standard deviation1871.8476
Coefficient of variation (CV)0.53804033
Kurtosis-0.86434048
Mean3479.0099
Median Absolute Deviation (MAD)1288
Skewness-0.39760329
Sum351380
Variance3503813.5
MonotonicityNot monotonic
2023-09-29T01:17:27.827308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4223 2
 
2.0%
2197 1
 
1.0%
4382 1
 
1.0%
2799 1
 
1.0%
2471 1
 
1.0%
2451 1
 
1.0%
3557 1
 
1.0%
3818 1
 
1.0%
4054 1
 
1.0%
3686 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
26 1
1.0%
32 1
1.0%
45 1
1.0%
60 1
1.0%
79 1
1.0%
110 1
1.0%
111 1
1.0%
146 1
1.0%
170 1
1.0%
281 1
1.0%
ValueCountFrequency (%)
6644 1
1.0%
6610 1
1.0%
6114 1
1.0%
6066 1
1.0%
5899 1
1.0%
5872 1
1.0%
5777 1
1.0%
5776 1
1.0%
5756 1
1.0%
5679 1
1.0%

동구 남
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1723.4257
Minimum6
Maximum3142
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:28.700021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile17
Q11121
median1742
Q32577
95-th percentile2940
Maximum3142
Range3136
Interquartile range (IQR)1456

Descriptive statistics

Standard deviation971.4718
Coefficient of variation (CV)0.56368649
Kurtosis-1.0082853
Mean1723.4257
Median Absolute Deviation (MAD)794
Skewness-0.4566941
Sum174066
Variance943757.47
MonotonicityNot monotonic
2023-09-29T01:17:29.855878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 2
 
2.0%
17 2
 
2.0%
1125 1
 
1.0%
2551 1
 
1.0%
1121 1
 
1.0%
1614 1
 
1.0%
1735 1
 
1.0%
1843 1
 
1.0%
1727 1
 
1.0%
1742 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
6 1
1.0%
10 2
2.0%
11 1
1.0%
17 2
2.0%
25 1
1.0%
27 1
1.0%
32 1
1.0%
66 1
1.0%
80 1
1.0%
111 1
1.0%
ValueCountFrequency (%)
3142 1
1.0%
3118 1
1.0%
3018 1
1.0%
3000 1
1.0%
2946 1
1.0%
2940 1
1.0%
2899 1
1.0%
2866 1
1.0%
2860 1
1.0%
2851 1
1.0%

동구 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1755.5842
Minimum20
Maximum3502
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:30.695313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile86
Q11268
median1851
Q32503
95-th percentile3038
Maximum3502
Range3482
Interquartile range (IQR)1235

Descriptive statistics

Standard deviation918.80893
Coefficient of variation (CV)0.52336365
Kurtosis-0.71133327
Mean1755.5842
Median Absolute Deviation (MAD)627
Skewness-0.27477303
Sum177314
Variance844209.85
MonotonicityNot monotonic
2023-09-29T01:17:31.498186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2331 2
 
2.0%
1072 1
 
1.0%
2503 1
 
1.0%
1600 1
 
1.0%
1404 1
 
1.0%
1330 1
 
1.0%
1943 1
 
1.0%
2083 1
 
1.0%
2211 1
 
1.0%
1959 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
20 1
1.0%
22 1
1.0%
34 1
1.0%
50 1
1.0%
62 1
1.0%
86 1
1.0%
93 1
1.0%
119 1
1.0%
138 1
1.0%
215 1
1.0%
ValueCountFrequency (%)
3502 1
1.0%
3492 1
1.0%
3275 1
1.0%
3126 1
1.0%
3042 1
1.0%
3038 1
1.0%
2953 1
1.0%
2941 1
1.0%
2937 1
1.0%
2910 1
1.0%

서구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1831.2277
Minimum10
Maximum4379
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:32.330982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile55
Q1962
median1898
Q32640
95-th percentile3642
Maximum4379
Range4369
Interquartile range (IQR)1678

Descriptive statistics

Standard deviation1147.62
Coefficient of variation (CV)0.62669434
Kurtosis-0.84475211
Mean1831.2277
Median Absolute Deviation (MAD)898
Skewness0.14992851
Sum184954
Variance1317031.8
MonotonicityNot monotonic
2023-09-29T01:17:33.817826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
662 1
 
1.0%
2908 1
 
1.0%
1676 1
 
1.0%
1374 1
 
1.0%
1401 1
 
1.0%
2074 1
 
1.0%
2306 1
 
1.0%
2366 1
 
1.0%
2188 1
 
1.0%
2239 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
10 1
1.0%
13 1
1.0%
24 1
1.0%
25 1
1.0%
53 1
1.0%
55 1
1.0%
67 1
1.0%
90 1
1.0%
95 1
1.0%
140 1
1.0%
ValueCountFrequency (%)
4379 1
1.0%
4223 1
1.0%
4061 1
1.0%
3998 1
1.0%
3728 1
1.0%
3642 1
1.0%
3546 1
1.0%
3521 1
1.0%
3517 1
1.0%
3493 1
1.0%

서구 남
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean921.77228
Minimum0
Maximum2125
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:35.016571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11
Q1489
median1020
Q31388
95-th percentile1851
Maximum2125
Range2125
Interquartile range (IQR)899

Descriptive statistics

Standard deviation598.93116
Coefficient of variation (CV)0.64976044
Kurtosis-1.1136669
Mean921.77228
Median Absolute Deviation (MAD)505
Skewness0.015567509
Sum93099
Variance358718.54
MonotonicityNot monotonic
2023-09-29T01:17:35.842089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
504 2
 
2.0%
1461 2
 
2.0%
24 2
 
2.0%
322 1
 
1.0%
1329 1
 
1.0%
697 1
 
1.0%
640 1
 
1.0%
611 1
 
1.0%
912 1
 
1.0%
1049 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
0 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
7 1
1.0%
11 1
1.0%
13 1
1.0%
17 1
1.0%
24 2
2.0%
44 1
1.0%
ValueCountFrequency (%)
2125 1
1.0%
2028 1
1.0%
1980 1
1.0%
1930 1
1.0%
1875 1
1.0%
1851 1
1.0%
1824 1
1.0%
1818 1
1.0%
1791 1
1.0%
1741 1
1.0%

서구 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean909.45545
Minimum10
Maximum2254
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:36.818753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile51
Q1481
median888
Q31212
95-th percentile1826
Maximum2254
Range2244
Interquartile range (IQR)731

Descriptive statistics

Standard deviation562.15113
Coefficient of variation (CV)0.61811838
Kurtosis-0.55125794
Mean909.45545
Median Absolute Deviation (MAD)392
Skewness0.3364206
Sum91855
Variance316013.89
MonotonicityNot monotonic
2023-09-29T01:17:38.186825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1179 2
 
2.0%
340 1
 
1.0%
873 1
 
1.0%
968 1
 
1.0%
979 1
 
1.0%
734 1
 
1.0%
790 1
 
1.0%
1162 1
 
1.0%
1257 1
 
1.0%
1248 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
10 1
1.0%
11 1
1.0%
18 1
1.0%
21 1
1.0%
42 1
1.0%
51 1
1.0%
54 1
1.0%
71 1
1.0%
73 1
1.0%
116 1
1.0%
ValueCountFrequency (%)
2254 1
1.0%
2195 1
1.0%
2081 1
1.0%
2068 1
1.0%
1853 1
1.0%
1826 1
1.0%
1805 1
1.0%
1791 1
1.0%
1751 1
1.0%
1726 1
1.0%

남구 계
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1492.5149
Minimum9
Maximum2997
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:39.228543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile55
Q1811
median1650
Q32177
95-th percentile2693
Maximum2997
Range2988
Interquartile range (IQR)1366

Descriptive statistics

Standard deviation839.42223
Coefficient of variation (CV)0.56242136
Kurtosis-1.0708565
Mean1492.5149
Median Absolute Deviation (MAD)705
Skewness-0.19841923
Sum150744
Variance704629.67
MonotonicityNot monotonic
2023-09-29T01:17:40.197402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
772 2
 
2.0%
855 2
 
2.0%
589 1
 
1.0%
2191 1
 
1.0%
1561 1
 
1.0%
1410 1
 
1.0%
1204 1
 
1.0%
1323 1
 
1.0%
1803 1
 
1.0%
1927 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
9 1
1.0%
23 1
1.0%
27 1
1.0%
39 1
1.0%
52 1
1.0%
55 1
1.0%
76 1
1.0%
78 1
1.0%
110 1
1.0%
164 1
1.0%
ValueCountFrequency (%)
2997 1
1.0%
2987 1
1.0%
2878 1
1.0%
2837 1
1.0%
2746 1
1.0%
2693 1
1.0%
2614 1
1.0%
2602 1
1.0%
2577 1
1.0%
2531 1
1.0%

남구 남
Real number (ℝ)

Distinct97
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean721.22772
Minimum1
Maximum1440
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:41.034112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11
Q1396
median794
Q31100
95-th percentile1280
Maximum1440
Range1439
Interquartile range (IQR)704

Descriptive statistics

Standard deviation423.91982
Coefficient of variation (CV)0.58777528
Kurtosis-1.1954964
Mean721.22772
Median Absolute Deviation (MAD)343
Skewness-0.23543883
Sum72844
Variance179708.02
MonotonicityNot monotonic
2023-09-29T01:17:41.750515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
484 2
 
2.0%
1267 2
 
2.0%
430 2
 
2.0%
11 2
 
2.0%
303 1
 
1.0%
1048 1
 
1.0%
571 1
 
1.0%
794 1
 
1.0%
855 1
 
1.0%
871 1
 
1.0%
Other values (87) 87
86.1%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
5 1
1.0%
9 1
1.0%
11 2
2.0%
15 1
1.0%
18 1
1.0%
25 1
1.0%
44 1
1.0%
69 1
1.0%
ValueCountFrequency (%)
1440 1
1.0%
1379 1
1.0%
1359 1
1.0%
1326 1
1.0%
1313 1
1.0%
1280 1
1.0%
1267 2
2.0%
1265 1
1.0%
1261 1
1.0%
1244 1
1.0%

남구 여
Real number (ℝ)

Distinct97
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean771.28713
Minimum7
Maximum1638
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:42.400334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile44
Q1394
median822
Q31072
95-th percentile1426
Maximum1638
Range1631
Interquartile range (IQR)678

Descriptive statistics

Standard deviation424.98645
Coefficient of variation (CV)0.5510094
Kurtosis-0.93242995
Mean771.28713
Median Absolute Deviation (MAD)358
Skewness-0.11244417
Sum77900
Variance180613.49
MonotonicityNot monotonic
2023-09-29T01:17:43.021416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
372 2
 
2.0%
22 2
 
2.0%
1072 2
 
2.0%
1007 2
 
2.0%
286 1
 
1.0%
1232 1
 
1.0%
813 1
 
1.0%
720 1
 
1.0%
752 1
 
1.0%
1009 1
 
1.0%
Other values (87) 87
86.1%
ValueCountFrequency (%)
7 1
1.0%
22 2
2.0%
30 1
1.0%
41 1
1.0%
44 1
1.0%
58 1
1.0%
63 1
1.0%
85 1
1.0%
120 1
1.0%
145 1
1.0%
ValueCountFrequency (%)
1638 1
1.0%
1565 1
1.0%
1547 1
1.0%
1485 1
1.0%
1458 1
1.0%
1426 1
1.0%
1377 1
1.0%
1336 1
1.0%
1318 1
1.0%
1288 1
1.0%

북구 계
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4356.7822
Minimum18
Maximum8613
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:43.623295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile73
Q12429
median4453
Q36591
95-th percentile8153
Maximum8613
Range8595
Interquartile range (IQR)4162

Descriptive statistics

Standard deviation2556.1665
Coefficient of variation (CV)0.58670974
Kurtosis-1.0081445
Mean4356.7822
Median Absolute Deviation (MAD)2138
Skewness-0.22257644
Sum440035
Variance6533987.4
MonotonicityNot monotonic
2023-09-29T01:17:44.441815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
135 2
 
2.0%
2707 1
 
1.0%
5427 1
 
1.0%
2199 1
 
1.0%
2207 1
 
1.0%
3227 1
 
1.0%
3549 1
 
1.0%
3679 1
 
1.0%
3427 1
 
1.0%
3463 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
18 1
1.0%
35 1
1.0%
40 1
1.0%
58 1
1.0%
71 1
1.0%
73 1
1.0%
81 1
1.0%
135 2
2.0%
242 1
1.0%
306 1
1.0%
ValueCountFrequency (%)
8613 1
1.0%
8590 1
1.0%
8521 1
1.0%
8488 1
1.0%
8352 1
1.0%
8153 1
1.0%
8042 1
1.0%
8009 1
1.0%
7905 1
1.0%
7752 1
1.0%

북구 남
Real number (ℝ)

Distinct96
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2174.3069
Minimum2
Maximum4318
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:45.254671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile14
Q1999
median2281
Q33313
95-th percentile4007
Maximum4318
Range4316
Interquartile range (IQR)2314

Descriptive statistics

Standard deviation1339.5704
Coefficient of variation (CV)0.61609077
Kurtosis-1.1726107
Mean2174.3069
Median Absolute Deviation (MAD)1152
Skewness-0.2740543
Sum219605
Variance1794449
MonotonicityNot monotonic
2023-09-29T01:17:45.990602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2098 3
 
3.0%
3433 2
 
2.0%
8 2
 
2.0%
3050 2
 
2.0%
1632 1
 
1.0%
1339 1
 
1.0%
1082 1
 
1.0%
1037 1
 
1.0%
948 1
 
1.0%
999 1
 
1.0%
Other values (86) 86
85.1%
ValueCountFrequency (%)
2 1
1.0%
3 1
1.0%
8 2
2.0%
12 1
1.0%
14 1
1.0%
18 1
1.0%
26 1
1.0%
34 1
1.0%
54 1
1.0%
64 1
1.0%
ValueCountFrequency (%)
4318 1
1.0%
4258 1
1.0%
4209 1
1.0%
4172 1
1.0%
4145 1
1.0%
4007 1
1.0%
3944 1
1.0%
3933 1
1.0%
3908 1
1.0%
3872 1
1.0%

북구 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2182.4752
Minimum16
Maximum4381
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:46.686927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile61
Q11340
median2215
Q33069
95-th percentile4207
Maximum4381
Range4365
Interquartile range (IQR)1729

Descriptive statistics

Standard deviation1230.7238
Coefficient of variation (CV)0.56391193
Kurtosis-0.81063714
Mean2182.4752
Median Absolute Deviation (MAD)875
Skewness-0.13692802
Sum220430
Variance1514681.1
MonotonicityNot monotonic
2023-09-29T01:17:47.708982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32 2
 
2.0%
1340 1
 
1.0%
2847 1
 
1.0%
1251 1
 
1.0%
1208 1
 
1.0%
1802 1
 
1.0%
1949 1
 
1.0%
2011 1
 
1.0%
1836 1
 
1.0%
1831 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
16 1
1.0%
32 2
2.0%
44 1
1.0%
53 1
1.0%
61 1
1.0%
73 1
1.0%
101 1
1.0%
109 1
1.0%
188 1
1.0%
242 1
1.0%
ValueCountFrequency (%)
4381 1
1.0%
4316 1
1.0%
4295 1
1.0%
4263 1
1.0%
4209 1
1.0%
4207 1
1.0%
4101 1
1.0%
4035 1
1.0%
4033 1
1.0%
3952 1
1.0%

수성구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4286.6832
Minimum25
Maximum9205
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:48.693436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25
5-th percentile93
Q12308
median4470
Q36201
95-th percentile8406
Maximum9205
Range9180
Interquartile range (IQR)3893

Descriptive statistics

Standard deviation2545.6804
Coefficient of variation (CV)0.59385785
Kurtosis-0.9299972
Mean4286.6832
Median Absolute Deviation (MAD)2040
Skewness-0.066412875
Sum432955
Variance6480488.9
MonotonicityNot monotonic
2023-09-29T01:17:49.536464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1678 1
 
1.0%
4502 1
 
1.0%
2643 1
 
1.0%
2308 1
 
1.0%
2363 1
 
1.0%
3432 1
 
1.0%
3565 1
 
1.0%
3671 1
 
1.0%
3637 1
 
1.0%
3459 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
25 1
1.0%
27 1
1.0%
50 1
1.0%
66 1
1.0%
73 1
1.0%
93 1
1.0%
113 1
1.0%
187 1
1.0%
199 1
1.0%
291 1
1.0%
ValueCountFrequency (%)
9205 1
1.0%
8979 1
1.0%
8947 1
1.0%
8916 1
1.0%
8681 1
1.0%
8406 1
1.0%
8232 1
1.0%
7911 1
1.0%
7564 1
1.0%
7336 1
1.0%

수성구 남
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2085.6436
Minimum3
Maximum4330
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:50.643401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile24
Q11039
median2144
Q33170
95-th percentile3996
Maximum4330
Range4327
Interquartile range (IQR)2131

Descriptive statistics

Standard deviation1284.963
Coefficient of variation (CV)0.61609904
Kurtosis-1.1206542
Mean2085.6436
Median Absolute Deviation (MAD)1055
Skewness-0.15114883
Sum210650
Variance1651129.9
MonotonicityNot monotonic
2023-09-29T01:17:52.124440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1587 2
 
2.0%
1667 2
 
2.0%
3547 2
 
2.0%
852 1
 
1.0%
2026 1
 
1.0%
1319 1
 
1.0%
1249 1
 
1.0%
1153 1
 
1.0%
1012 1
 
1.0%
1091 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
3 1
1.0%
6 1
1.0%
7 1
1.0%
17 1
1.0%
18 1
1.0%
24 1
1.0%
25 1
1.0%
47 1
1.0%
50 1
1.0%
68 1
1.0%
ValueCountFrequency (%)
4330 1
1.0%
4326 1
1.0%
4212 1
1.0%
4206 1
1.0%
4012 1
1.0%
3996 1
1.0%
3878 1
1.0%
3723 1
1.0%
3693 1
1.0%
3659 1
1.0%

수성구 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2201.0396
Minimum18
Maximum4879
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:53.731463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile69
Q11296
median2211
Q33054
95-th percentile4586
Maximum4879
Range4861
Interquartile range (IQR)1758

Descriptive statistics

Standard deviation1285.3811
Coefficient of variation (CV)0.58398816
Kurtosis-0.67392083
Mean2201.0396
Median Absolute Deviation (MAD)888
Skewness0.093356369
Sum222305
Variance1652204.5
MonotonicityNot monotonic
2023-09-29T01:17:56.041100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1296 2
 
2.0%
826 1
 
1.0%
2320 1
 
1.0%
1490 1
 
1.0%
1272 1
 
1.0%
1917 1
 
1.0%
1988 1
 
1.0%
2004 1
 
1.0%
1957 1
 
1.0%
1872 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
18 1
1.0%
24 1
1.0%
44 1
1.0%
48 1
1.0%
49 1
1.0%
69 1
1.0%
95 1
1.0%
140 1
1.0%
149 1
1.0%
223 1
1.0%
ValueCountFrequency (%)
4879 1
1.0%
4773 1
1.0%
4735 1
1.0%
4683 1
1.0%
4669 1
1.0%
4586 1
1.0%
4372 1
1.0%
4236 1
1.0%
4004 1
1.0%
3905 1
1.0%

달서구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5686.5743
Minimum18
Maximum11587
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:56.649733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile81
Q12771
median5995
Q38438
95-th percentile10875
Maximum11587
Range11569
Interquartile range (IQR)5667

Descriptive statistics

Standard deviation3451.0696
Coefficient of variation (CV)0.60688025
Kurtosis-1.1075073
Mean5686.5743
Median Absolute Deviation (MAD)2631
Skewness-0.15942087
Sum574344
Variance11909882
MonotonicityNot monotonic
2023-09-29T01:17:57.376651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2972 1
 
1.0%
6141 1
 
1.0%
2984 1
 
1.0%
2607 1
 
1.0%
2771 1
 
1.0%
4070 1
 
1.0%
4401 1
 
1.0%
4585 1
 
1.0%
4506 1
 
1.0%
4523 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
18 1
1.0%
19 1
1.0%
51 1
1.0%
67 1
1.0%
75 1
1.0%
81 1
1.0%
116 1
1.0%
172 1
1.0%
182 1
1.0%
293 1
1.0%
ValueCountFrequency (%)
11587 1
1.0%
11317 1
1.0%
11248 1
1.0%
11135 1
1.0%
10891 1
1.0%
10875 1
1.0%
10866 1
1.0%
10698 1
1.0%
10471 1
1.0%
10290 1
1.0%

달서구 남
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2818.8218
Minimum3
Maximum5587
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:58.544712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile21
Q11288
median2988
Q34248
95-th percentile5274
Maximum5587
Range5584
Interquartile range (IQR)2960

Descriptive statistics

Standard deviation1766.6627
Coefficient of variation (CV)0.62673799
Kurtosis-1.2431162
Mean2818.8218
Median Absolute Deviation (MAD)1508
Skewness-0.2599258
Sum284701
Variance3121097
MonotonicityNot monotonic
2023-09-29T01:17:59.702062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1516 1
 
1.0%
3043 1
 
1.0%
1288 1
 
1.0%
1143 1
 
1.0%
1335 1
 
1.0%
1846 1
 
1.0%
2082 1
 
1.0%
2177 1
 
1.0%
2156 1
 
1.0%
2191 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
3 1
1.0%
6 1
1.0%
7 1
1.0%
12 1
1.0%
14 1
1.0%
21 1
1.0%
28 1
1.0%
35 1
1.0%
37 1
1.0%
72 1
1.0%
ValueCountFrequency (%)
5587 1
1.0%
5521 1
1.0%
5393 1
1.0%
5303 1
1.0%
5286 1
1.0%
5274 1
1.0%
5240 1
1.0%
5100 1
1.0%
5006 1
1.0%
4999 1
1.0%

달서구 여
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2867.7525
Minimum11
Maximum6000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:18:00.923193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile61
Q11547
median2849
Q34154
95-th percentile5651
Maximum6000
Range5989
Interquartile range (IQR)2607

Descriptive statistics

Standard deviation1704.4853
Coefficient of variation (CV)0.59436276
Kurtosis-0.92523519
Mean2867.7525
Median Absolute Deviation (MAD)1305
Skewness-0.017606247
Sum289643
Variance2905270
MonotonicityNot monotonic
2023-09-29T01:18:01.774081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1456 1
 
1.0%
3098 1
 
1.0%
1696 1
 
1.0%
1464 1
 
1.0%
1436 1
 
1.0%
2224 1
 
1.0%
2319 1
 
1.0%
2408 1
 
1.0%
2350 1
 
1.0%
2332 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
11 1
1.0%
16 1
1.0%
45 1
1.0%
55 1
1.0%
60 1
1.0%
61 1
1.0%
88 1
1.0%
137 1
1.0%
145 1
1.0%
221 1
1.0%
ValueCountFrequency (%)
6000 1
1.0%
5861 1
1.0%
5855 1
1.0%
5796 1
1.0%
5766 1
1.0%
5651 1
1.0%
5589 1
1.0%
5472 1
1.0%
5395 1
1.0%
5388 1
1.0%

달성군 계
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2475.6634
Minimum9
Maximum5209
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:18:02.818800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile36
Q11129
median2832
Q33761
95-th percentile4277
Maximum5209
Range5200
Interquartile range (IQR)2632

Descriptive statistics

Standard deviation1465.3079
Coefficient of variation (CV)0.59188494
Kurtosis-1.0238774
Mean2475.6634
Median Absolute Deviation (MAD)1101
Skewness-0.264657
Sum250042
Variance2147127.1
MonotonicityNot monotonic
2023-09-29T01:18:03.807181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4146 2
 
2.0%
3183 2
 
2.0%
36 2
 
2.0%
2305 1
 
1.0%
1204 1
 
1.0%
1054 1
 
1.0%
1088 1
 
1.0%
1570 1
 
1.0%
1731 1
 
1.0%
1862 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
9 1
1.0%
12 1
1.0%
19 1
1.0%
24 1
1.0%
36 2
2.0%
40 1
1.0%
74 1
1.0%
104 1
1.0%
151 1
1.0%
164 1
1.0%
ValueCountFrequency (%)
5209 1
1.0%
5146 1
1.0%
5121 1
1.0%
4716 1
1.0%
4681 1
1.0%
4277 1
1.0%
4231 1
1.0%
4219 1
1.0%
4162 1
1.0%
4153 1
1.0%

달성군 남
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1258.7921
Minimum1
Maximum2711
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:18:04.673795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9
Q1504
median1446
Q31901
95-th percentile2244
Maximum2711
Range2710
Interquartile range (IQR)1397

Descriptive statistics

Standard deviation784.15718
Coefficient of variation (CV)0.62294417
Kurtosis-1.1200392
Mean1258.7921
Median Absolute Deviation (MAD)587
Skewness-0.29480419
Sum127138
Variance614902.49
MonotonicityNot monotonic
2023-09-29T01:18:05.449544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
922 2
 
2.0%
1370 1
 
1.0%
1166 1
 
1.0%
504 1
 
1.0%
550 1
 
1.0%
499 1
 
1.0%
521 1
 
1.0%
746 1
 
1.0%
859 1
 
1.0%
873 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
4 1
1.0%
6 1
1.0%
7 1
1.0%
9 1
1.0%
11 1
1.0%
16 1
1.0%
21 1
1.0%
31 1
1.0%
ValueCountFrequency (%)
2711 1
1.0%
2693 1
1.0%
2576 1
1.0%
2415 1
1.0%
2364 1
1.0%
2244 1
1.0%
2222 1
1.0%
2175 1
1.0%
2170 1
1.0%
2146 1
1.0%

달성군 여
Real number (ℝ)

Distinct97
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1216.8713
Minimum8
Maximum2570
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:18:06.488476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile27
Q1666
median1272
Q31813
95-th percentile2110
Maximum2570
Range2562
Interquartile range (IQR)1147

Descriptive statistics

Standard deviation686.92027
Coefficient of variation (CV)0.56449706
Kurtosis-0.8991753
Mean1216.8713
Median Absolute Deviation (MAD)565
Skewness-0.22138501
Sum122904
Variance471859.45
MonotonicityNot monotonic
2023-09-29T01:18:07.498627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
707 2
 
2.0%
1975 2
 
2.0%
2036 2
 
2.0%
1938 2
 
2.0%
1264 1
 
1.0%
654 1
 
1.0%
555 1
 
1.0%
567 1
 
1.0%
824 1
 
1.0%
872 1
 
1.0%
Other values (87) 87
86.1%
ValueCountFrequency (%)
8 1
1.0%
10 1
1.0%
15 1
1.0%
17 1
1.0%
25 1
1.0%
27 1
1.0%
34 1
1.0%
58 1
1.0%
83 1
1.0%
120 1
1.0%
ValueCountFrequency (%)
2570 1
1.0%
2516 1
1.0%
2410 1
1.0%
2317 1
1.0%
2301 1
1.0%
2110 1
1.0%
2107 1
1.0%
2063 1
1.0%
2036 2
2.0%
2008 1
1.0%

Sample

구분총계총계 남총계 여중구 계중구 남중구 여동구 계동구 남동구 여서구 계서구 남서구 여남구 계남구 남남구 여북구 계북구 남북구 여수성구 계수성구 남수성구 여달서구 계달서구 남달서구 여달성군 계달성군 남달성군 여
00세14068712069485172652522197112510726623223405893032862707136713401678852826297215161456274613701376
11세1642684767950567290277258513611224801411390637316321313215631569213410891045364019521688293014941436
22세1899796749323673337336291114341477977504473733361372368518801805247813051173421822102008332216431679
33세19999102479752638314324308616161470947493454767392375381519511864285114681383464923742275324616391607
44세20020102199801586316270302615261500962492470772400372378819331855309415871507460923442265318316211562
55세19930101479783572277295296215131449981489492772395377378419301854326816671601460723482259298415281456
66세2248411534109506083462623214168815261099571528855424431419321552038397120161955536126972664318316371546
77세2167511122105535972933042990156314271033515518800430370407020981972401320571956515526192536301715471470
88세214621108210380541290251296315561407945476469824430394396320581905412521222003526927042565283214461386
99세20383105829801473262211274514361309958470488791396395378619271859414521611984500126642337248412661218
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
9191세16633831280101247728166215140241161644412024254188291682232937222115131120
9292세10232178065714431462711990177311025851352610919950149182371451042183
9393세92420272241103117032138671354781563135341011874714017235137741658
9494세5981064923610261101793554515511447312611131895116288840634
9595세490111379359267917625311425211418187373254881216036927
9696세37077293201196010502432139930581444661749671255361125
9797세2734622721417451134257182752235332506445164519415
9898세18039141187113210221321123122408322732418711918
9999세12624102725266201001092718216257181931612210
100100세 이상630145485851570111258695247176185871185393246975146124717