Overview

Dataset statistics

Number of variables26
Number of observations101
Missing cells2
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.1 KiB
Average record size in memory234.3 B

Variable types

Text1
Numeric25

Dataset

Description2015년 5월말 대구 주민등록인구통계
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3077757&dataSetDetailId=3077757190a4f6c4738c_201705311622&provdMethod=FILE

Alerts

구분 has unique valuesUnique
총계 has unique valuesUnique
서구 계 has unique valuesUnique
남구 여 has unique valuesUnique
수성구 계 has unique valuesUnique
달서구 계 has unique valuesUnique
달성군 계 has unique valuesUnique

Reproduction

Analysis started2023-09-29 01:17:45.766582
Analysis finished2023-09-29 01:17:46.307849
Duration0.54 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
2023-09-29T01:17:47.202801image/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%
2023-09-29T01:17:49.324279image/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%
Mean24671.95
Minimum99
Maximum48790
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:50.140181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99
5-th percentile453
Q113792
median26495
Q336511
95-th percentile45094
Maximum48790
Range48691
Interquartile range (IQR)22719

Descriptive statistics

Standard deviation14554.945
Coefficient of variation (CV)0.58993897
Kurtosis-1.0659996
Mean24671.95
Median Absolute Deviation (MAD)10689
Skewness-0.27015835
Sum2491867
Variance2.1184642 × 108
MonotonicityNot monotonic
2023-09-29T01:17:51.154523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18727 1
 
1.0%
21926 1
 
1.0%
15324 1
 
1.0%
18326 1
 
1.0%
19771 1
 
1.0%
17414 1
 
1.0%
15985 1
 
1.0%
12720 1
 
1.0%
20280 1
 
1.0%
22279 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
99 1
1.0%
140 1
1.0%
183 1
1.0%
255 1
1.0%
373 1
1.0%
453 1
1.0%
518 1
1.0%
752 1
1.0%
982 1
1.0%
1083 1
1.0%
ValueCountFrequency (%)
48790 1
1.0%
48069 1
1.0%
46372 1
1.0%
46143 1
1.0%
46079 1
1.0%
45094 1
1.0%
44851 1
1.0%
44704 1
1.0%
44260 1
1.0%
43927 1
1.0%

중구 계
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean795.69307
Minimum10
Maximum1483
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:52.821281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile33
Q1505
median911
Q31135
95-th percentile1341
Maximum1483
Range1473
Interquartile range (IQR)630

Descriptive statistics

Standard deviation430.47162
Coefficient of variation (CV)0.5410021
Kurtosis-1.0528542
Mean795.69307
Median Absolute Deviation (MAD)318
Skewness-0.41786135
Sum80365
Variance185305.81
MonotonicityNot monotonic
2023-09-29T01:17:53.933503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
616 2
 
2.0%
208 2
 
2.0%
505 2
 
2.0%
623 1
 
1.0%
927 1
 
1.0%
892 1
 
1.0%
944 1
 
1.0%
906 1
 
1.0%
787 1
 
1.0%
628 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
10 1
1.0%
11 1
1.0%
13 1
1.0%
15 1
1.0%
27 1
1.0%
33 1
1.0%
40 1
1.0%
53 1
1.0%
65 1
1.0%
76 1
1.0%
ValueCountFrequency (%)
1483 1
1.0%
1424 1
1.0%
1413 1
1.0%
1386 1
1.0%
1344 1
1.0%
1341 1
1.0%
1331 1
1.0%
1328 1
1.0%
1320 1
1.0%
1316 1
1.0%

중구 남
Real number (ℝ)

Distinct91
Distinct (%)91.0%
Missing1
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean391.95
Minimum1
Maximum734
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:56.567440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.85
Q1244.75
median426.5
Q3596
95-th percentile668.8
Maximum734
Range733
Interquartile range (IQR)351.25

Descriptive statistics

Standard deviation222.48338
Coefficient of variation (CV)0.56763205
Kurtosis-1.1066711
Mean391.95
Median Absolute Deviation (MAD)170.5
Skewness-0.38767395
Sum39195
Variance49498.856
MonotonicityNot monotonic
2023-09-29T01:17:57.901924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
596 3
 
3.0%
297 2
 
2.0%
101 2
 
2.0%
572 2
 
2.0%
583 2
 
2.0%
598 2
 
2.0%
1 2
 
2.0%
293 2
 
2.0%
10 1
 
1.0%
16 1
 
1.0%
Other values (81) 81
80.2%
ValueCountFrequency (%)
1 2
2.0%
2 1
1.0%
5 1
1.0%
7 1
1.0%
10 1
1.0%
13 1
1.0%
14 1
1.0%
16 1
1.0%
20 1
1.0%
22 1
1.0%
ValueCountFrequency (%)
734 1
1.0%
725 1
1.0%
698 1
1.0%
688 1
1.0%
684 1
1.0%
668 1
1.0%
660 1
1.0%
656 1
1.0%
652 1
1.0%
643 1
1.0%

중구 여
Real number (ℝ)

Distinct94
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean407.62376
Minimum9
Maximum758
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:59.062918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile26
Q1249
median476
Q3563
95-th percentile688
Maximum758
Range749
Interquartile range (IQR)314

Descriptive statistics

Standard deviation210.11801
Coefficient of variation (CV)0.51547046
Kurtosis-0.96528039
Mean407.62376
Median Absolute Deviation (MAD)154
Skewness-0.41098256
Sum41170
Variance44149.577
MonotonicityNot monotonic
2023-09-29T01:18:00.067309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
520 2
 
2.0%
252 2
 
2.0%
527 2
 
2.0%
562 2
 
2.0%
660 2
 
2.0%
588 2
 
2.0%
9 2
 
2.0%
689 1
 
1.0%
375 1
 
1.0%
439 1
 
1.0%
Other values (84) 84
83.2%
ValueCountFrequency (%)
9 2
2.0%
12 1
1.0%
15 1
1.0%
17 1
1.0%
26 1
1.0%
35 1
1.0%
40 1
1.0%
51 1
1.0%
60 1
1.0%
63 1
1.0%
ValueCountFrequency (%)
758 1
1.0%
756 1
1.0%
703 1
1.0%
698 1
1.0%
689 1
1.0%
688 1
1.0%
682 1
1.0%
681 1
1.0%
679 1
1.0%
660 2
2.0%

동구 계
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3462.0594
Minimum21
Maximum6903
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:18:01.081061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile75
Q12306
median3611
Q35258
95-th percentile5942
Maximum6903
Range6882
Interquartile range (IQR)2952

Descriptive statistics

Standard deviation1928.7899
Coefficient of variation (CV)0.55712212
Kurtosis-0.91314865
Mean3462.0594
Median Absolute Deviation (MAD)1587
Skewness-0.40365017
Sum349668
Variance3720230.4
MonotonicityNot monotonic
2023-09-29T01:18:02.138615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2791 2
 
2.0%
3012 1
 
1.0%
4049 1
 
1.0%
2553 1
 
1.0%
2681 1
 
1.0%
3187 1
 
1.0%
3385 1
 
1.0%
3041 1
 
1.0%
2773 1
 
1.0%
2208 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
21 1
1.0%
25 1
1.0%
37 1
1.0%
51 1
1.0%
62 1
1.0%
75 1
1.0%
88 1
1.0%
117 1
1.0%
136 1
1.0%
170 1
1.0%
ValueCountFrequency (%)
6903 1
1.0%
6460 1
1.0%
6028 1
1.0%
6026 1
1.0%
6019 1
1.0%
5942 1
1.0%
5929 1
1.0%
5841 1
1.0%
5798 1
1.0%
5702 1
1.0%

동구 남
Real number (ℝ)

Distinct97
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1726.604
Minimum1
Maximum3327
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:18:03.104735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile16
Q11031
median1887
Q32614
95-th percentile3005
Maximum3327
Range3326
Interquartile range (IQR)1583

Descriptive statistics

Standard deviation1010.5839
Coefficient of variation (CV)0.58530148
Kurtosis-1.0583477
Mean1726.604
Median Absolute Deviation (MAD)798
Skewness-0.43809152
Sum174387
Variance1021279.7
MonotonicityNot monotonic
2023-09-29T01:18:03.928002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2584 2
 
2.0%
8 2
 
2.0%
20 2
 
2.0%
2981 2
 
2.0%
1585 1
 
1.0%
1728 1
 
1.0%
1514 1
 
1.0%
1327 1
 
1.0%
1229 1
 
1.0%
1031 1
 
1.0%
Other values (87) 87
86.1%
ValueCountFrequency (%)
1 1
1.0%
8 2
2.0%
13 1
1.0%
14 1
1.0%
16 1
1.0%
20 2
2.0%
26 1
1.0%
32 1
1.0%
57 1
1.0%
65 1
1.0%
ValueCountFrequency (%)
3327 1
1.0%
3086 1
1.0%
3034 1
1.0%
3022 1
1.0%
3019 1
1.0%
3005 1
1.0%
2981 2
2.0%
2955 1
1.0%
2948 1
1.0%
2923 1
1.0%

동구 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1735.4554
Minimum17
Maximum3576
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:18:05.529602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile55
Q11262
median1809
Q32570
95-th percentile2948
Maximum3576
Range3559
Interquartile range (IQR)1308

Descriptive statistics

Standard deviation936.09151
Coefficient of variation (CV)0.53939242
Kurtosis-0.75980395
Mean1735.4554
Median Absolute Deviation (MAD)676
Skewness-0.30507387
Sum175281
Variance876267.31
MonotonicityNot monotonic
2023-09-29T01:18:06.724784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1714 2
 
2.0%
1427 1
 
1.0%
1244 1
 
1.0%
1473 1
 
1.0%
1487 1
 
1.0%
1809 1
 
1.0%
1871 1
 
1.0%
1544 1
 
1.0%
1177 1
 
1.0%
1902 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
17 1
1.0%
20 1
1.0%
29 1
1.0%
35 1
1.0%
49 1
1.0%
55 1
1.0%
74 1
1.0%
97 1
1.0%
110 1
1.0%
138 1
1.0%
ValueCountFrequency (%)
3576 1
1.0%
3441 1
1.0%
3128 1
1.0%
3084 1
1.0%
3080 1
1.0%
2948 1
1.0%
2941 1
1.0%
2934 1
1.0%
2933 1
1.0%
2918 1
1.0%

서구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2064.1782
Minimum10
Maximum4752
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:18:07.219889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile34
Q11121
median2308
Q32968
95-th percentile3991
Maximum4752
Range4742
Interquartile range (IQR)1847

Descriptive statistics

Standard deviation1286.6215
Coefficient of variation (CV)0.62330929
Kurtosis-1.0385184
Mean2064.1782
Median Absolute Deviation (MAD)1017
Skewness-0.051898222
Sum208482
Variance1655394.8
MonotonicityNot monotonic
2023-09-29T01:18:07.927680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1121 1
 
1.0%
2308 1
 
1.0%
1533 1
 
1.0%
1983 1
 
1.0%
2081 1
 
1.0%
1854 1
 
1.0%
1679 1
 
1.0%
1291 1
 
1.0%
2164 1
 
1.0%
2423 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
10 1
1.0%
17 1
1.0%
22 1
1.0%
23 1
1.0%
27 1
1.0%
34 1
1.0%
62 1
1.0%
75 1
1.0%
81 1
1.0%
111 1
1.0%
ValueCountFrequency (%)
4752 1
1.0%
4502 1
1.0%
4371 1
1.0%
4277 1
1.0%
4071 1
1.0%
3991 1
1.0%
3882 1
1.0%
3773 1
1.0%
3698 1
1.0%
3694 1
1.0%

서구 남
Real number (ℝ)

Distinct96
Distinct (%)96.0%
Missing1
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean1055.48
Minimum1
Maximum2320
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:18:08.505243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.75
Q1547.25
median1109
Q31628.75
95-th percentile1973.75
Maximum2320
Range2319
Interquartile range (IQR)1081.5

Descriptive statistics

Standard deviation678.7475
Coefficient of variation (CV)0.64306998
Kurtosis-1.2550215
Mean1055.48
Median Absolute Deviation (MAD)532.5
Skewness-0.14445432
Sum105548
Variance460698.17
MonotonicityNot monotonic
2023-09-29T01:18:09.100789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
688 2
 
2.0%
612 2
 
2.0%
5 2
 
2.0%
24 2
 
2.0%
583 1
 
1.0%
1501 1
 
1.0%
937 1
 
1.0%
791 1
 
1.0%
774 1
 
1.0%
975 1
 
1.0%
Other values (86) 86
85.1%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
4 1
1.0%
5 2
2.0%
10 1
1.0%
14 1
1.0%
17 1
1.0%
24 2
2.0%
29 1
1.0%
37 1
1.0%
ValueCountFrequency (%)
2320 1
1.0%
2204 1
1.0%
2198 1
1.0%
2130 1
1.0%
2045 1
1.0%
1970 1
1.0%
1948 1
1.0%
1929 1
1.0%
1909 1
1.0%
1894 1
1.0%

서구 여
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1019.1485
Minimum9
Maximum2432
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:18:09.624031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile29
Q1584
median1108
Q31389
95-th percentile1946
Maximum2432
Range2423
Interquartile range (IQR)805

Descriptive statistics

Standard deviation615.66859
Coefficient of variation (CV)0.60410095
Kurtosis-0.74392619
Mean1019.1485
Median Absolute Deviation (MAD)486
Skewness0.093888551
Sum102934
Variance379047.81
MonotonicityNot monotonic
2023-09-29T01:18:10.384701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1229 2
 
2.0%
1355 2
 
2.0%
1189 2
 
2.0%
538 1
 
1.0%
705 1
 
1.0%
842 1
 
1.0%
875 1
 
1.0%
1104 1
 
1.0%
1144 1
 
1.0%
1063 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
9 1
1.0%
17 1
1.0%
18 1
1.0%
21 1
1.0%
22 1
1.0%
29 1
1.0%
48 1
1.0%
57 1
1.0%
65 1
1.0%
94 1
1.0%
ValueCountFrequency (%)
2432 1
1.0%
2304 1
1.0%
2167 1
1.0%
2147 1
1.0%
2101 1
1.0%
1946 1
1.0%
1934 1
1.0%
1933 1
1.0%
1893 1
1.0%
1892 1
1.0%

남구 계
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1607.8911
Minimum7
Maximum3281
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:18:11.005706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile45
Q1948
median1875
Q32377
95-th percentile2867
Maximum3281
Range3274
Interquartile range (IQR)1429

Descriptive statistics

Standard deviation908.86673
Coefficient of variation (CV)0.56525391
Kurtosis-1.0695777
Mean1607.8911
Median Absolute Deviation (MAD)722
Skewness-0.29941535
Sum162397
Variance826038.74
MonotonicityNot monotonic
2023-09-29T01:18:11.763618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2356 2
 
2.0%
939 2
 
2.0%
2033 1
 
1.0%
1383 1
 
1.0%
1470 1
 
1.0%
1726 1
 
1.0%
1856 1
 
1.0%
1614 1
 
1.0%
1352 1
 
1.0%
1212 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
7 1
1.0%
13 1
1.0%
22 1
1.0%
24 1
1.0%
42 1
1.0%
45 1
1.0%
55 1
1.0%
62 1
1.0%
104 1
1.0%
112 1
1.0%
ValueCountFrequency (%)
3281 1
1.0%
3140 1
1.0%
2931 1
1.0%
2880 1
1.0%
2874 1
1.0%
2867 1
1.0%
2811 1
1.0%
2793 1
1.0%
2728 1
1.0%
2625 1
1.0%

남구 남
Real number (ℝ)

Distinct95
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean783.86139
Minimum1
Maximum1496
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:18:12.227620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q1482
median853
Q31210
95-th percentile1353
Maximum1496
Range1495
Interquartile range (IQR)728

Descriptive statistics

Standard deviation464.22973
Coefficient of variation (CV)0.59223446
Kurtosis-1.2167206
Mean783.86139
Median Absolute Deviation (MAD)358
Skewness-0.33051307
Sum79170
Variance215509.24
MonotonicityNot monotonic
2023-09-29T01:18:12.760787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
781 2
 
2.0%
1104 2
 
2.0%
498 2
 
2.0%
8 2
 
2.0%
1108 2
 
2.0%
96 2
 
2.0%
482 1
 
1.0%
583 1
 
1.0%
812 1
 
1.0%
680 1
 
1.0%
Other values (85) 85
84.2%
ValueCountFrequency (%)
1 1
1.0%
3 1
1.0%
5 1
1.0%
6 1
1.0%
8 2
2.0%
13 1
1.0%
14 1
1.0%
20 1
1.0%
30 1
1.0%
31 1
1.0%
ValueCountFrequency (%)
1496 1
1.0%
1445 1
1.0%
1431 1
1.0%
1418 1
1.0%
1383 1
1.0%
1353 1
1.0%
1352 1
1.0%
1345 1
1.0%
1323 1
1.0%
1322 1
1.0%

남구 여
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean824.0297
Minimum6
Maximum1785
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:18:13.587555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile37
Q1466
median934
Q31175
95-th percentile1493
Maximum1785
Range1779
Interquartile range (IQR)709

Descriptive statistics

Standard deviation454.48359
Coefficient of variation (CV)0.55153787
Kurtosis-0.89465699
Mean824.0297
Median Absolute Deviation (MAD)345
Skewness-0.20695714
Sum83227
Variance206555.33
MonotonicityNot monotonic
2023-09-29T01:18:14.716249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
466 1
 
1.0%
1031 1
 
1.0%
887 1
 
1.0%
945 1
 
1.0%
1044 1
 
1.0%
934 1
 
1.0%
765 1
 
1.0%
685 1
 
1.0%
1046 1
 
1.0%
1109 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
6 1
1.0%
10 1
1.0%
17 1
1.0%
18 1
1.0%
34 1
1.0%
37 1
1.0%
42 1
1.0%
48 1
1.0%
82 1
1.0%
84 1
1.0%
ValueCountFrequency (%)
1785 1
1.0%
1695 1
1.0%
1544 1
1.0%
1500 1
1.0%
1497 1
1.0%
1493 1
1.0%
1489 1
1.0%
1461 1
1.0%
1456 1
1.0%
1363 1
1.0%

북구 계
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4388.1287
Minimum14
Maximum9035
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:18:15.920923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile60
Q12175
median4597
Q36618
95-th percentile8312
Maximum9035
Range9021
Interquartile range (IQR)4443

Descriptive statistics

Standard deviation2683.4273
Coefficient of variation (CV)0.61151974
Kurtosis-1.0980084
Mean4388.1287
Median Absolute Deviation (MAD)2134
Skewness-0.22111117
Sum443201
Variance7200782.2
MonotonicityNot monotonic
2023-09-29T01:18:16.911078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4271 2
 
2.0%
3686 1
 
1.0%
3665 1
 
1.0%
2406 1
 
1.0%
2455 1
 
1.0%
2912 1
 
1.0%
3158 1
 
1.0%
2715 1
 
1.0%
2578 1
 
1.0%
1965 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
14 1
1.0%
15 1
1.0%
17 1
1.0%
39 1
1.0%
59 1
1.0%
60 1
1.0%
82 1
1.0%
101 1
1.0%
143 1
1.0%
159 1
1.0%
ValueCountFrequency (%)
9035 1
1.0%
8808 1
1.0%
8608 1
1.0%
8554 1
1.0%
8458 1
1.0%
8312 1
1.0%
8288 1
1.0%
8072 1
1.0%
7999 1
1.0%
7991 1
1.0%

북구 남
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2196.6733
Minimum1
Maximum4569
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:18:18.342892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15
Q1924
median2382
Q33371
95-th percentile4124
Maximum4569
Range4568
Interquartile range (IQR)2447

Descriptive statistics

Standard deviation1407.2175
Coefficient of variation (CV)0.640613
Kurtosis-1.2403249
Mean2196.6733
Median Absolute Deviation (MAD)1139
Skewness-0.26030449
Sum221864
Variance1980261
MonotonicityNot monotonic
2023-09-29T01:18:20.070151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 2
 
2.0%
1900 1
 
1.0%
2087 1
 
1.0%
1302 1
 
1.0%
1416 1
 
1.0%
1128 1
 
1.0%
1089 1
 
1.0%
924 1
 
1.0%
1417 1
 
1.0%
1625 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
1 1
1.0%
3 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
15 2
2.0%
16 1
1.0%
26 1
1.0%
33 1
1.0%
52 1
1.0%
ValueCountFrequency (%)
4569 1
1.0%
4375 1
1.0%
4339 1
1.0%
4238 1
1.0%
4162 1
1.0%
4124 1
1.0%
4078 1
1.0%
4060 1
1.0%
4021 1
1.0%
4007 1
1.0%

북구 여
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2191.4554
Minimum9
Maximum4466
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:18:21.069998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile52
Q11264
median2247
Q33138
95-th percentile4269
Maximum4466
Range4457
Interquartile range (IQR)1874

Descriptive statistics

Standard deviation1288.5727
Coefficient of variation (CV)0.58799859
Kurtosis-0.93184028
Mean2191.4554
Median Absolute Deviation (MAD)937
Skewness-0.15563393
Sum221337
Variance1660419.7
MonotonicityNot monotonic
2023-09-29T01:18:21.678354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14 2
 
2.0%
2698 2
 
2.0%
1786 1
 
1.0%
1906 1
 
1.0%
1448 1
 
1.0%
1610 1
 
1.0%
1742 1
 
1.0%
1587 1
 
1.0%
1489 1
 
1.0%
1041 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
9 1
1.0%
14 2
2.0%
33 1
1.0%
44 1
1.0%
52 1
1.0%
67 1
1.0%
86 1
1.0%
110 1
1.0%
133 1
1.0%
154 1
1.0%
ValueCountFrequency (%)
4466 1
1.0%
4433 1
1.0%
4334 1
1.0%
4316 1
1.0%
4281 1
1.0%
4269 1
1.0%
4150 1
1.0%
3994 1
1.0%
3978 1
1.0%
3970 1
1.0%

수성구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4482.0594
Minimum14
Maximum9840
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:18:22.752445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile72
Q12354
median4502
Q36889
95-th percentile8637
Maximum9840
Range9826
Interquartile range (IQR)4535

Descriptive statistics

Standard deviation2797.2558
Coefficient of variation (CV)0.62410056
Kurtosis-1.0465489
Mean4482.0594
Median Absolute Deviation (MAD)2302
Skewness-0.015597238
Sum452688
Variance7824639.9
MonotonicityNot monotonic
2023-09-29T01:18:23.382569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2538 1
 
1.0%
3645 1
 
1.0%
2604 1
 
1.0%
3008 1
 
1.0%
3316 1
 
1.0%
3025 1
 
1.0%
2697 1
 
1.0%
2117 1
 
1.0%
3394 1
 
1.0%
3666 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
14 1
1.0%
29 1
1.0%
40 1
1.0%
41 1
1.0%
70 1
1.0%
72 1
1.0%
80 1
1.0%
164 1
1.0%
187 1
1.0%
219 1
1.0%
ValueCountFrequency (%)
9840 1
1.0%
9583 1
1.0%
9522 1
1.0%
9131 1
1.0%
9049 1
1.0%
8637 1
1.0%
8524 1
1.0%
8327 1
1.0%
8313 1
1.0%
8295 1
1.0%

수성구 남
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2192.6337
Minimum3
Maximum4710
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:18:24.159361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile16
Q11022
median2328
Q33386
95-th percentile4183
Maximum4710
Range4707
Interquartile range (IQR)2364

Descriptive statistics

Standard deviation1428.5509
Coefficient of variation (CV)0.65152284
Kurtosis-1.2056101
Mean2192.6337
Median Absolute Deviation (MAD)1275
Skewness-0.06330817
Sum221456
Variance2040757.7
MonotonicityNot monotonic
2023-09-29T01:18:25.049592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 2
 
2.0%
1301 1
 
1.0%
2114 1
 
1.0%
1311 1
 
1.0%
1466 1
 
1.0%
1334 1
 
1.0%
1189 1
 
1.0%
1022 1
 
1.0%
1505 1
 
1.0%
1684 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
3 1
1.0%
5 1
1.0%
11 2
2.0%
15 1
1.0%
16 1
1.0%
17 1
1.0%
31 1
1.0%
45 1
1.0%
50 1
1.0%
81 1
1.0%
ValueCountFrequency (%)
4710 1
1.0%
4392 1
1.0%
4382 1
1.0%
4347 1
1.0%
4205 1
1.0%
4183 1
1.0%
4170 1
1.0%
4164 1
1.0%
4125 1
1.0%
4100 1
1.0%

수성구 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2289.4257
Minimum11
Maximum5191
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:18:26.127304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile57
Q11297
median2191
Q33279
95-th percentile4784
Maximum5191
Range5180
Interquartile range (IQR)1982

Descriptive statistics

Standard deviation1398.7324
Coefficient of variation (CV)0.61095337
Kurtosis-0.74755929
Mean2289.4257
Median Absolute Deviation (MAD)958
Skewness0.13343904
Sum231232
Variance1956452.3
MonotonicityNot monotonic
2023-09-29T01:18:27.799980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1670 2
 
2.0%
1237 1
 
1.0%
2064 1
 
1.0%
1449 1
 
1.0%
1500 1
 
1.0%
1697 1
 
1.0%
1850 1
 
1.0%
1691 1
 
1.0%
1508 1
 
1.0%
1095 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
11 1
1.0%
24 1
1.0%
29 1
1.0%
30 1
1.0%
54 1
1.0%
57 1
1.0%
63 1
1.0%
133 1
1.0%
142 1
1.0%
169 1
1.0%
ValueCountFrequency (%)
5191 1
1.0%
5140 1
1.0%
5130 1
1.0%
4977 1
1.0%
4852 1
1.0%
4784 1
1.0%
4558 1
1.0%
4354 1
1.0%
4269 1
1.0%
4258 1
1.0%

달서구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6010.1089
Minimum12
Maximum12175
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:18:31.570906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile67
Q12561
median6115
Q39366
95-th percentile11339
Maximum12175
Range12163
Interquartile range (IQR)6805

Descriptive statistics

Standard deviation3804.5954
Coefficient of variation (CV)0.63303269
Kurtosis-1.2470258
Mean6010.1089
Median Absolute Deviation (MAD)3324
Skewness-0.18509353
Sum607021
Variance14474946
MonotonicityNot monotonic
2023-09-29T01:18:32.610695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4959 1
 
1.0%
4636 1
 
1.0%
2759 1
 
1.0%
3408 1
 
1.0%
3698 1
 
1.0%
3115 1
 
1.0%
3062 1
 
1.0%
2424 1
 
1.0%
4012 1
 
1.0%
4484 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
12 1
1.0%
16 1
1.0%
24 1
1.0%
43 1
1.0%
61 1
1.0%
67 1
1.0%
72 1
1.0%
151 1
1.0%
165 1
1.0%
201 1
1.0%
ValueCountFrequency (%)
12175 1
1.0%
12159 1
1.0%
11826 1
1.0%
11666 1
1.0%
11432 1
1.0%
11339 1
1.0%
11202 1
1.0%
11178 1
1.0%
11172 1
1.0%
11152 1
1.0%

달서구 남
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2989.7426
Minimum2
Maximum5943
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:18:33.610014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile13
Q11066
median3168
Q34688
95-th percentile5491
Maximum5943
Range5941
Interquartile range (IQR)3622

Descriptive statistics

Standard deviation1959.3108
Coefficient of variation (CV)0.65534431
Kurtosis-1.3656088
Mean2989.7426
Median Absolute Deviation (MAD)1718
Skewness-0.25719713
Sum301964
Variance3838898.8
MonotonicityNot monotonic
2023-09-29T01:18:34.660237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 2
 
2.0%
2538 1
 
1.0%
2891 1
 
1.0%
1450 1
 
1.0%
1652 1
 
1.0%
1340 1
 
1.0%
1398 1
 
1.0%
1159 1
 
1.0%
1934 1
 
1.0%
2168 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
2 1
1.0%
4 1
1.0%
5 2
2.0%
9 1
1.0%
13 1
1.0%
14 1
1.0%
31 1
1.0%
42 1
1.0%
56 1
1.0%
65 1
1.0%
ValueCountFrequency (%)
5943 1
1.0%
5907 1
1.0%
5768 1
1.0%
5580 1
1.0%
5553 1
1.0%
5491 1
1.0%
5465 1
1.0%
5453 1
1.0%
5410 1
1.0%
5371 1
1.0%

달서구 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3020.3663
Minimum10
Maximum6391
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:18:35.787610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile58
Q11549
median3008
Q34413
95-th percentile5919
Maximum6391
Range6381
Interquartile range (IQR)2864

Descriptive statistics

Standard deviation1866.1935
Coefficient of variation (CV)0.61786993
Kurtosis-1.0646707
Mean3020.3663
Median Absolute Deviation (MAD)1459
Skewness-0.062901103
Sum305057
Variance3482678.3
MonotonicityNot monotonic
2023-09-29T01:18:36.704925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4371 2
 
2.0%
2421 1
 
1.0%
2432 1
 
1.0%
1627 1
 
1.0%
1958 1
 
1.0%
2046 1
 
1.0%
1775 1
 
1.0%
1664 1
 
1.0%
1265 1
 
1.0%
2078 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
10 1
1.0%
12 1
1.0%
19 1
1.0%
38 1
1.0%
47 1
1.0%
58 1
1.0%
59 1
1.0%
120 1
1.0%
123 1
1.0%
145 1
1.0%
ValueCountFrequency (%)
6391 1
1.0%
6232 1
1.0%
6086 1
1.0%
5979 1
1.0%
5929 1
1.0%
5919 1
1.0%
5859 1
1.0%
5845 1
1.0%
5731 1
1.0%
5729 1
1.0%

달성군 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1861.8317
Minimum9
Maximum3616
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:18:37.988053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile25
Q1969
median1980
Q32708
95-th percentile3363
Maximum3616
Range3607
Interquartile range (IQR)1739

Descriptive statistics

Standard deviation1103.8606
Coefficient of variation (CV)0.59288959
Kurtosis-1.0704024
Mean1861.8317
Median Absolute Deviation (MAD)948
Skewness-0.26370123
Sum188045
Variance1218508.3
MonotonicityNot monotonic
2023-09-29T01:18:39.006741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1840 1
 
1.0%
1472 1
 
1.0%
1087 1
 
1.0%
1210 1
 
1.0%
1333 1
 
1.0%
1144 1
 
1.0%
1057 1
 
1.0%
875 1
 
1.0%
1226 1
 
1.0%
1494 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
9 1
1.0%
10 1
1.0%
11 1
1.0%
19 1
1.0%
22 1
1.0%
25 1
1.0%
32 1
1.0%
55 1
1.0%
82 1
1.0%
83 1
1.0%
ValueCountFrequency (%)
3616 1
1.0%
3579 1
1.0%
3541 1
1.0%
3421 1
1.0%
3387 1
1.0%
3363 1
1.0%
3356 1
1.0%
3344 1
1.0%
3339 1
1.0%
3336 1
1.0%

달성군 남
Real number (ℝ)

Distinct97
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean951.61386
Minimum2
Maximum1907
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:18:40.359292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile6
Q1370
median1052
Q31445
95-th percentile1771
Maximum1907
Range1905
Interquartile range (IQR)1075

Descriptive statistics

Standard deviation600.79138
Coefficient of variation (CV)0.63133946
Kurtosis-1.2306857
Mean951.61386
Median Absolute Deviation (MAD)509
Skewness-0.28351116
Sum96113
Variance360950.28
MonotonicityNot monotonic
2023-09-29T01:18:41.149832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1228 2
 
2.0%
2 2
 
2.0%
4 2
 
2.0%
1738 2
 
2.0%
926 1
 
1.0%
721 1
 
1.0%
588 1
 
1.0%
476 1
 
1.0%
510 1
 
1.0%
431 1
 
1.0%
Other values (87) 87
86.1%
ValueCountFrequency (%)
2 2
2.0%
4 2
2.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
14 1
1.0%
16 1
1.0%
20 1
1.0%
28 1
1.0%
31 1
1.0%
ValueCountFrequency (%)
1907 1
1.0%
1834 1
1.0%
1817 1
1.0%
1792 1
1.0%
1790 1
1.0%
1771 1
1.0%
1738 2
2.0%
1725 1
1.0%
1708 1
1.0%
1694 1
1.0%

달성군 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean910.21782
Minimum5
Maximum1762
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:18:42.219206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile21
Q1547
median940
Q31263
95-th percentile1648
Maximum1762
Range1757
Interquartile range (IQR)716

Descriptive statistics

Standard deviation509.84538
Coefficient of variation (CV)0.56013557
Kurtosis-0.87485075
Mean910.21782
Median Absolute Deviation (MAD)393
Skewness-0.22860727
Sum91932
Variance259942.31
MonotonicityNot monotonic
2023-09-29T01:18:43.326580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1014 2
 
2.0%
914 1
 
1.0%
774 1
 
1.0%
663 1
 
1.0%
679 1
 
1.0%
714 1
 
1.0%
745 1
 
1.0%
668 1
 
1.0%
547 1
 
1.0%
444 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
5 1
1.0%
8 1
1.0%
9 1
1.0%
13 1
1.0%
17 1
1.0%
21 1
1.0%
25 1
1.0%
39 1
1.0%
63 1
1.0%
68 1
1.0%
ValueCountFrequency (%)
1762 1
1.0%
1709 1
1.0%
1707 1
1.0%
1685 1
1.0%
1669 1
1.0%
1648 1
1.0%
1629 1
1.0%
1607 1
1.0%
1603 1
1.0%
1601 1
1.0%

Sample

구분총계중구 계중구 남중구 여동구 계동구 남동구 여서구 계서구 남서구 여남구 계남구 남남구 여북구 계북구 남북구 여수성구 계수성구 남수성구 여달서구 계달서구 남달서구 여달성군 계달성군 남달성군 여
00세1872762329732630121585142711215835389484824663686190017862538130112374959253824211840926914
11세19344574308266307115231548124564959610415305113857196918882716141912974983251924641857924933
22세2123863033829233441713163113906887021045552493421721972020307715931484539327462647214211281014
33세2133559030528533241717160712196056141003522481421421752039328816181670548927962693220811161092
44세218016163013153290173215581338688650954498456427122412030355418031751561328792734216511221043
55세2013952329323030301570146010725485248594454143930205418763469179916705305276025451951982969
66세20779517268249286614821384111754557294549844740502066198439362107182953672815255219811040941
77세22810545293252309115461545121161259999451747745342382215246032358224558243017280720081019989
88세2136050726124627691437133211485356139394994404271222520464502232821745352276825841872955917
99세2080645524620926061344126211396205199395114284150211820324481241920625276270025761760949811
구분총계중구 계중구 남중구 여동구 계동구 남동구 여서구 계서구 남서구 여남구 계남구 남남구 여북구 계북구 남북구 여수성구 계수성구 남수성구 여달서구 계달서구 남달서구 여달성군 계달성군 남달성군 여
9191세10835313401703213811117941042084143331102195016920156145821468
9292세982651451136261107510651123082159261331874514216542123832063
9393세75240535117209762144862144810115861643113315131120551639
9494세45333726752055345294583782156780176372135932725
9595세37327101762134927522428345975270165461144725421
9696세255131125116352241824618396334111304353822517
9797세183101937829232212251717314401129245191028
9898세14015<NA>152581717<NA>1713310145929524164121129
9999세991129211201019716151141431112210945
100100세 이상5187616608814748124575513426016447215576795819613