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 6월말 기준 대구 주민등록인구통계
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3077757&dataSetDetailId=30777571ca85961dd18f_201705311618&provdMethod=FILE

Alerts

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

Reproduction

Analysis started2023-12-10 18:29:12.303668
Analysis finished2023-12-10 18:29:12.687385
Duration0.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Text

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
2023-12-11T03:29:13.099101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length2.9405941
Min length2

Characters and Unicode

Total characters297
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique101 ?
Unique (%)100.0%

Sample

1st row0세
2nd row1세
3rd row2세
4th row3세
5th row4세
ValueCountFrequency (%)
0세 1
 
1.0%
52세 1
 
1.0%
74세 1
 
1.0%
73세 1
 
1.0%
72세 1
 
1.0%
71세 1
 
1.0%
70세 1
 
1.0%
69세 1
 
1.0%
68세 1
 
1.0%
67세 1
 
1.0%
Other values (92) 92
90.2%
2023-12-11T03:29:13.907013image/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%
Mean24664.723
Minimum92
Maximum48966
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:29:14.174739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum92
5-th percentile456
Q113913
median26197
Q336474
95-th percentile45722
Maximum48966
Range48874
Interquartile range (IQR)22561

Descriptive statistics

Standard deviation14538.319
Coefficient of variation (CV)0.58943776
Kurtosis-1.0609035
Mean24664.723
Median Absolute Deviation (MAD)10618
Skewness-0.27098749
Sum2491137
Variance2.1136272 × 108
MonotonicityNot monotonic
2023-12-11T03:29:14.424348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18794 1
 
1.0%
21753 1
 
1.0%
15595 1
 
1.0%
18441 1
 
1.0%
19572 1
 
1.0%
17300 1
 
1.0%
16147 1
 
1.0%
12609 1
 
1.0%
20616 1
 
1.0%
22290 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
92 1
1.0%
146 1
1.0%
179 1
1.0%
252 1
1.0%
379 1
1.0%
456 1
1.0%
520 1
1.0%
754 1
1.0%
1019 1
1.0%
1029 1
1.0%
ValueCountFrequency (%)
48966 1
1.0%
48050 1
1.0%
46158 1
1.0%
46057 1
1.0%
45955 1
1.0%
45722 1
1.0%
45162 1
1.0%
44467 1
1.0%
43979 1
1.0%
43577 1
1.0%

중구 계
Real number (ℝ)

Distinct95
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean799.93069
Minimum9
Maximum1511
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:29:14.681147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile30
Q1506
median899
Q31140
95-th percentile1358
Maximum1511
Range1502
Interquartile range (IQR)634

Descriptive statistics

Standard deviation432.81671
Coefficient of variation (CV)0.54106776
Kurtosis-1.0427728
Mean799.93069
Median Absolute Deviation (MAD)313
Skewness-0.41543984
Sum80793
Variance187330.31
MonotonicityNot monotonic
2023-12-11T03:29:14.951186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1133 2
 
2.0%
1187 2
 
2.0%
1066 2
 
2.0%
1191 2
 
2.0%
208 2
 
2.0%
1131 2
 
2.0%
1047 1
 
1.0%
1271 1
 
1.0%
1237 1
 
1.0%
730 1
 
1.0%
Other values (85) 85
84.2%
ValueCountFrequency (%)
9 1
1.0%
10 1
1.0%
13 1
1.0%
14 1
1.0%
26 1
1.0%
30 1
1.0%
42 1
1.0%
53 1
1.0%
66 1
1.0%
77 1
1.0%
ValueCountFrequency (%)
1511 1
1.0%
1437 1
1.0%
1422 1
1.0%
1409 1
1.0%
1366 1
1.0%
1358 1
1.0%
1343 1
1.0%
1331 1
1.0%
1310 1
1.0%
1309 1
1.0%

중구 남
Real number (ℝ)

Distinct91
Distinct (%)91.0%
Missing1
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean394.18
Minimum1
Maximum739
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:29:15.225720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.8
Q1246.75
median430.5
Q3594.5
95-th percentile674.4
Maximum739
Range738
Interquartile range (IQR)347.75

Descriptive statistics

Standard deviation224.06693
Coefficient of variation (CV)0.56843809
Kurtosis-1.1032964
Mean394.18
Median Absolute Deviation (MAD)173
Skewness-0.38046784
Sum39418
Variance50205.987
MonotonicityNot monotonic
2023-12-11T03:29:15.480897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
447 3
 
3.0%
317 3
 
3.0%
1 3
 
3.0%
6 2
 
2.0%
638 2
 
2.0%
363 2
 
2.0%
311 1
 
1.0%
411 1
 
1.0%
396 1
 
1.0%
339 1
 
1.0%
Other values (81) 81
80.2%
ValueCountFrequency (%)
1 3
3.0%
6 2
2.0%
10 1
 
1.0%
14 1
 
1.0%
15 1
 
1.0%
17 1
 
1.0%
18 1
 
1.0%
23 1
 
1.0%
37 1
 
1.0%
54 1
 
1.0%
ValueCountFrequency (%)
739 1
1.0%
735 1
1.0%
721 1
1.0%
700 1
1.0%
682 1
1.0%
674 1
1.0%
663 1
1.0%
662 1
1.0%
657 1
1.0%
652 1
1.0%

중구 여
Real number (ℝ)

Distinct88
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean409.65347
Minimum8
Maximum772
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:29:15.735390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile24
Q1251
median472
Q3571
95-th percentile688
Maximum772
Range764
Interquartile range (IQR)320

Descriptive statistics

Standard deviation210.79836
Coefficient of variation (CV)0.51457727
Kurtosis-0.95082237
Mean409.65347
Median Absolute Deviation (MAD)145
Skewness-0.4174804
Sum41375
Variance44435.949
MonotonicityNot monotonic
2023-12-11T03:29:16.414477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
551 4
 
4.0%
603 2
 
2.0%
69 2
 
2.0%
693 2
 
2.0%
676 2
 
2.0%
602 2
 
2.0%
643 2
 
2.0%
652 2
 
2.0%
516 2
 
2.0%
530 2
 
2.0%
Other values (78) 79
78.2%
ValueCountFrequency (%)
8 1
1.0%
9 1
1.0%
12 1
1.0%
14 1
1.0%
16 1
1.0%
24 1
1.0%
36 1
1.0%
39 1
1.0%
51 1
1.0%
60 1
1.0%
ValueCountFrequency (%)
772 1
1.0%
763 1
1.0%
704 1
1.0%
693 2
2.0%
688 1
1.0%
687 1
1.0%
676 2
2.0%
661 1
1.0%
652 2
2.0%
643 2
2.0%

동구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3462.7921
Minimum20
Maximum6900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:29:16.721039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile77
Q12334
median3569
Q35279
95-th percentile5949
Maximum6900
Range6880
Interquartile range (IQR)2945

Descriptive statistics

Standard deviation1928.981
Coefficient of variation (CV)0.55705943
Kurtosis-0.90904268
Mean3462.7921
Median Absolute Deviation (MAD)1615
Skewness-0.40127507
Sum349742
Variance3720967.6
MonotonicityNot monotonic
2023-12-11T03:29:17.006161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3029 1
 
1.0%
3569 1
 
1.0%
2705 1
 
1.0%
3192 1
 
1.0%
3364 1
 
1.0%
3006 1
 
1.0%
2829 1
 
1.0%
2159 1
 
1.0%
3543 1
 
1.0%
3749 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
20 1
1.0%
30 1
1.0%
31 1
1.0%
50 1
1.0%
62 1
1.0%
77 1
1.0%
88 1
1.0%
120 1
1.0%
145 1
1.0%
159 1
1.0%
ValueCountFrequency (%)
6900 1
1.0%
6567 1
1.0%
6129 1
1.0%
6009 1
1.0%
5969 1
1.0%
5949 1
1.0%
5847 1
1.0%
5839 1
1.0%
5789 1
1.0%
5710 1
1.0%

동구 남
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1727.1683
Minimum1
Maximum3324
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:29:17.291490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile16
Q11004
median1895
Q32621
95-th percentile3007
Maximum3324
Range3323
Interquartile range (IQR)1617

Descriptive statistics

Standard deviation1010.7559
Coefficient of variation (CV)0.58520983
Kurtosis-1.0561664
Mean1727.1683
Median Absolute Deviation (MAD)776
Skewness-0.43685824
Sum174444
Variance1021627.4
MonotonicityNot monotonic
2023-12-11T03:29:17.590353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3077 2
 
2.0%
1588 1
 
1.0%
1948 1
 
1.0%
1182 1
 
1.0%
1396 1
 
1.0%
1506 1
 
1.0%
1317 1
 
1.0%
1240 1
 
1.0%
1004 1
 
1.0%
1621 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
1 1
1.0%
7 1
1.0%
9 1
1.0%
12 1
1.0%
14 1
1.0%
16 1
1.0%
20 1
1.0%
22 1
1.0%
27 1
1.0%
28 1
1.0%
ValueCountFrequency (%)
3324 1
1.0%
3077 2
2.0%
3048 1
1.0%
3042 1
1.0%
3007 1
1.0%
2998 1
1.0%
2960 1
1.0%
2954 1
1.0%
2930 1
1.0%
2928 1
1.0%

동구 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1735.6238
Minimum19
Maximum3576
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:29:17.913118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile57
Q11229
median1796
Q32561
95-th percentile2942
Maximum3576
Range3557
Interquartile range (IQR)1332

Descriptive statistics

Standard deviation936.16947
Coefficient of variation (CV)0.53938503
Kurtosis-0.7527569
Mean1735.6238
Median Absolute Deviation (MAD)696
Skewness-0.3010269
Sum175298
Variance876413.28
MonotonicityNot monotonic
2023-12-11T03:29:18.232395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2648 2
 
2.0%
1441 1
 
1.0%
2135 1
 
1.0%
1523 1
 
1.0%
1796 1
 
1.0%
1858 1
 
1.0%
1689 1
 
1.0%
1589 1
 
1.0%
1155 1
 
1.0%
1922 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
19 1
1.0%
21 1
1.0%
24 1
1.0%
34 1
1.0%
50 1
1.0%
57 1
1.0%
74 1
1.0%
98 1
1.0%
118 1
1.0%
131 1
1.0%
ValueCountFrequency (%)
3576 1
1.0%
3490 1
1.0%
3175 1
1.0%
3048 1
1.0%
3041 1
1.0%
2942 1
1.0%
2932 1
1.0%
2917 1
1.0%
2907 1
1.0%
2893 1
1.0%

서구 계
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2058.4356
Minimum10
Maximum4778
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:29:18.519633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile37
Q11118
median2291
Q32951
95-th percentile3953
Maximum4778
Range4768
Interquartile range (IQR)1833

Descriptive statistics

Standard deviation1283.5182
Coefficient of variation (CV)0.62354059
Kurtosis-1.0272975
Mean2058.4356
Median Absolute Deviation (MAD)1019
Skewness-0.046023401
Sum207902
Variance1647418.9
MonotonicityNot monotonic
2023-12-11T03:29:18.847627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3679 2
 
2.0%
2568 2
 
2.0%
26 2
 
2.0%
2596 1
 
1.0%
1571 1
 
1.0%
1984 1
 
1.0%
2062 1
 
1.0%
1856 1
 
1.0%
1679 1
 
1.0%
1272 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
10 1
1.0%
16 1
1.0%
20 1
1.0%
26 2
2.0%
37 1
1.0%
64 1
1.0%
81 1
1.0%
91 1
1.0%
95 1
1.0%
130 1
1.0%
ValueCountFrequency (%)
4778 1
1.0%
4571 1
1.0%
4294 1
1.0%
4225 1
1.0%
4101 1
1.0%
3953 1
1.0%
3891 1
1.0%
3769 1
1.0%
3721 1
1.0%
3679 2
2.0%

서구 남
Real number (ℝ)

Distinct96
Distinct (%)96.0%
Missing1
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean1052.81
Minimum1
Maximum2339
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:29:19.138559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.7
Q1551.5
median1101
Q31617.75
95-th percentile1996.3
Maximum2339
Range2338
Interquartile range (IQR)1066.25

Descriptive statistics

Standard deviation676.81477
Coefficient of variation (CV)0.64286507
Kurtosis-1.2416861
Mean1052.81
Median Absolute Deviation (MAD)538.5
Skewness-0.13814683
Sum105281
Variance458078.24
MonotonicityNot monotonic
2023-12-11T03:29:19.405141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
595 2
 
2.0%
5 2
 
2.0%
1647 2
 
2.0%
604 2
 
2.0%
1514 1
 
1.0%
884 1
 
1.0%
921 1
 
1.0%
793 1
 
1.0%
779 1
 
1.0%
992 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%
11 1
1.0%
15 1
1.0%
16 1
1.0%
24 1
1.0%
25 1
1.0%
28 1
1.0%
ValueCountFrequency (%)
2339 1
1.0%
2230 1
1.0%
2177 1
1.0%
2108 1
1.0%
2021 1
1.0%
1995 1
1.0%
1972 1
1.0%
1951 1
1.0%
1889 1
1.0%
1877 1
1.0%

서구 여
Real number (ℝ)

Distinct96
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1016.0495
Minimum9
Maximum2439
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:29:19.666461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile32
Q1583
median1108
Q31371
95-th percentile1932
Maximum2439
Range2430
Interquartile range (IQR)788

Descriptive statistics

Standard deviation614.17469
Coefficient of variation (CV)0.60447319
Kurtosis-0.73965728
Mean1016.0495
Median Absolute Deviation (MAD)490
Skewness0.096080989
Sum102621
Variance377210.55
MonotonicityNot monotonic
2023-12-11T03:29:20.074289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2117 2
 
2.0%
1144 2
 
2.0%
1790 2
 
2.0%
16 2
 
2.0%
1194 2
 
2.0%
1367 1
 
1.0%
894 1
 
1.0%
1100 1
 
1.0%
1141 1
 
1.0%
1063 1
 
1.0%
Other values (86) 86
85.1%
ValueCountFrequency (%)
9 1
1.0%
16 2
2.0%
21 1
1.0%
24 1
1.0%
32 1
1.0%
49 1
1.0%
57 1
1.0%
79 1
1.0%
80 1
1.0%
102 1
1.0%
ValueCountFrequency (%)
2439 1
1.0%
2341 1
1.0%
2117 2
2.0%
2106 1
1.0%
1932 1
1.0%
1931 1
1.0%
1919 1
1.0%
1885 1
1.0%
1876 1
1.0%
1846 1
1.0%

남구 계
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1605.6238
Minimum7
Maximum3259
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:29:20.321926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile45
Q1942
median1863
Q32376
95-th percentile2837
Maximum3259
Range3252
Interquartile range (IQR)1434

Descriptive statistics

Standard deviation907.03882
Coefficient of variation (CV)0.56491367
Kurtosis-1.0615147
Mean1605.6238
Median Absolute Deviation (MAD)728
Skewness-0.29849036
Sum162168
Variance822719.42
MonotonicityNot monotonic
2023-12-11T03:29:20.598333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
930 3
 
3.0%
2618 2
 
2.0%
943 1
 
1.0%
2136 1
 
1.0%
1389 1
 
1.0%
1506 1
 
1.0%
1713 1
 
1.0%
1841 1
 
1.0%
1584 1
 
1.0%
1400 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
7 1
1.0%
12 1
1.0%
23 1
1.0%
25 1
1.0%
43 1
1.0%
45 1
1.0%
54 1
1.0%
65 1
1.0%
99 1
1.0%
115 1
1.0%
ValueCountFrequency (%)
3259 1
1.0%
3214 1
1.0%
2913 1
1.0%
2879 1
1.0%
2844 1
1.0%
2837 1
1.0%
2822 1
1.0%
2777 1
1.0%
2711 1
1.0%
2642 1
1.0%

남구 남
Real number (ℝ)

Distinct96
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean782.47525
Minimum1
Maximum1493
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:29:20.870950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9
Q1475
median843
Q31179
95-th percentile1345
Maximum1493
Range1492
Interquartile range (IQR)704

Descriptive statistics

Standard deviation462.9898
Coefficient of variation (CV)0.59169897
Kurtosis-1.213485
Mean782.47525
Median Absolute Deviation (MAD)357
Skewness-0.33159625
Sum79030
Variance214359.55
MonotonicityNot monotonic
2023-12-11T03:29:21.130279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
439 2
 
2.0%
31 2
 
2.0%
1090 2
 
2.0%
570 2
 
2.0%
1249 2
 
2.0%
1493 1
 
1.0%
1482 1
 
1.0%
780 1
 
1.0%
800 1
 
1.0%
676 1
 
1.0%
Other values (86) 86
85.1%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
5 1
1.0%
6 1
1.0%
8 1
1.0%
9 1
1.0%
14 1
1.0%
15 1
1.0%
19 1
1.0%
31 2
2.0%
ValueCountFrequency (%)
1493 1
1.0%
1482 1
1.0%
1410 1
1.0%
1406 1
1.0%
1350 1
1.0%
1345 1
1.0%
1343 1
1.0%
1337 1
1.0%
1332 1
1.0%
1329 1
1.0%

남구 여
Real number (ℝ)

Distinct97
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean823.14851
Minimum6
Maximum1766
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:29:21.402617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile37
Q1468
median916
Q31179
95-th percentile1475
Maximum1766
Range1760
Interquartile range (IQR)711

Descriptive statistics

Standard deviation454.01192
Coefficient of variation (CV)0.5515553
Kurtosis-0.88685022
Mean823.14851
Median Absolute Deviation (MAD)361
Skewness-0.20478739
Sum83138
Variance206126.83
MonotonicityNot monotonic
2023-12-11T03:29:21.667611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1041 2
 
2.0%
1108 2
 
2.0%
1278 2
 
2.0%
274 2
 
2.0%
468 1
 
1.0%
933 1
 
1.0%
908 1
 
1.0%
809 1
 
1.0%
663 1
 
1.0%
1061 1
 
1.0%
Other values (87) 87
86.1%
ValueCountFrequency (%)
6 1
1.0%
10 1
1.0%
18 1
1.0%
19 1
1.0%
34 1
1.0%
37 1
1.0%
40 1
1.0%
50 1
1.0%
80 1
1.0%
84 1
1.0%
ValueCountFrequency (%)
1766 1
1.0%
1732 1
1.0%
1568 1
1.0%
1500 1
1.0%
1487 1
1.0%
1475 1
1.0%
1469 1
1.0%
1462 1
1.0%
1438 1
1.0%
1363 1
1.0%

북구 계
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4390.5644
Minimum15
Maximum9034
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:29:21.926883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile61
Q12212
median4506
Q36623
95-th percentile8400
Maximum9034
Range9019
Interquartile range (IQR)4411

Descriptive statistics

Standard deviation2681.7999
Coefficient of variation (CV)0.61080985
Kurtosis-1.0930911
Mean4390.5644
Median Absolute Deviation (MAD)2167
Skewness-0.22341681
Sum443447
Variance7192051
MonotonicityNot monotonic
2023-12-11T03:29:22.217046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4277 2
 
2.0%
3747 1
 
1.0%
3648 1
 
1.0%
2399 1
 
1.0%
2470 1
 
1.0%
2960 1
 
1.0%
3106 1
 
1.0%
2705 1
 
1.0%
2612 1
 
1.0%
1965 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
15 1
1.0%
16 1
1.0%
17 1
1.0%
40 1
1.0%
60 1
1.0%
61 1
1.0%
82 1
1.0%
100 1
1.0%
136 1
1.0%
164 1
1.0%
ValueCountFrequency (%)
9034 1
1.0%
8823 1
1.0%
8570 1
1.0%
8522 1
1.0%
8474 1
1.0%
8400 1
1.0%
8259 1
1.0%
8093 1
1.0%
8013 1
1.0%
8001 1
1.0%

북구 남
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2197.5941
Minimum2
Maximum4537
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:29:22.493023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile14
Q1935
median2329
Q33388
95-th percentile4150
Maximum4537
Range4535
Interquartile range (IQR)2453

Descriptive statistics

Standard deviation1405.9417
Coefficient of variation (CV)0.63976406
Kurtosis-1.236135
Mean2197.5941
Median Absolute Deviation (MAD)1174
Skewness-0.26317049
Sum221957
Variance1976672.1
MonotonicityNot monotonic
2023-12-11T03:29:22.733353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3145 2
 
2.0%
1930 1
 
1.0%
1731 1
 
1.0%
1034 1
 
1.0%
1309 1
 
1.0%
1393 1
 
1.0%
1117 1
 
1.0%
1122 1
 
1.0%
919 1
 
1.0%
1430 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
2 1
1.0%
3 1
1.0%
4 1
1.0%
6 1
1.0%
7 1
1.0%
14 1
1.0%
16 1
1.0%
17 1
1.0%
26 1
1.0%
33 1
1.0%
ValueCountFrequency (%)
4537 1
1.0%
4395 1
1.0%
4330 1
1.0%
4211 1
1.0%
4195 1
1.0%
4150 1
1.0%
4076 1
1.0%
4056 1
1.0%
4054 1
1.0%
4009 1
1.0%

북구 여
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2192.9703
Minimum11
Maximum4497
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:29:22.981452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile53
Q11277
median2216
Q33165
95-th percentile4240
Maximum4497
Range4486
Interquartile range (IQR)1888

Descriptive statistics

Standard deviation1288.1023
Coefficient of variation (CV)0.58737792
Kurtosis-0.9268041
Mean2192.9703
Median Absolute Deviation (MAD)949
Skewness-0.15772232
Sum221490
Variance1659207.6
MonotonicityNot monotonic
2023-12-11T03:29:23.621244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14 2
 
2.0%
2216 2
 
2.0%
1817 1
 
1.0%
1821 1
 
1.0%
1436 1
 
1.0%
1651 1
 
1.0%
1713 1
 
1.0%
1588 1
 
1.0%
1490 1
 
1.0%
1046 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
11 1
1.0%
14 2
2.0%
34 1
1.0%
45 1
1.0%
53 1
1.0%
68 1
1.0%
83 1
1.0%
103 1
1.0%
138 1
1.0%
157 1
1.0%
ValueCountFrequency (%)
4497 1
1.0%
4428 1
1.0%
4327 1
1.0%
4324 1
1.0%
4250 1
1.0%
4240 1
1.0%
4189 1
1.0%
4039 1
1.0%
3961 1
1.0%
3957 1
1.0%

수성구 계
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4476.703
Minimum13
Maximum9816
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:29:23.870292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile75
Q12362
median4513
Q36919
95-th percentile8633
Maximum9816
Range9803
Interquartile range (IQR)4557

Descriptive statistics

Standard deviation2790.8871
Coefficient of variation (CV)0.62342467
Kurtosis-1.0426378
Mean4476.703
Median Absolute Deviation (MAD)2286
Skewness-0.017163771
Sum452147
Variance7789050.7
MonotonicityNot monotonic
2023-12-11T03:29:24.186581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8242 2
 
2.0%
39 2
 
2.0%
5496 2
 
2.0%
3603 1
 
1.0%
2649 1
 
1.0%
3049 1
 
1.0%
3290 1
 
1.0%
2994 1
 
1.0%
2703 1
 
1.0%
2113 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
13 1
1.0%
32 1
1.0%
39 2
2.0%
72 1
1.0%
75 1
1.0%
77 1
1.0%
162 1
1.0%
195 1
1.0%
207 1
1.0%
288 1
1.0%
ValueCountFrequency (%)
9816 1
1.0%
9549 1
1.0%
9538 1
1.0%
9177 1
1.0%
8997 1
1.0%
8633 1
1.0%
8562 1
1.0%
8251 1
1.0%
8242 2
2.0%
8179 1
1.0%

수성구 남
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2189.2277
Minimum2
Maximum4683
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:29:24.441615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile17
Q11027
median2318
Q33392
95-th percentile4164
Maximum4683
Range4681
Interquartile range (IQR)2365

Descriptive statistics

Standard deviation1424.5695
Coefficient of variation (CV)0.65071781
Kurtosis-1.2066509
Mean2189.2277
Median Absolute Deviation (MAD)1267
Skewness-0.067308532
Sum221112
Variance2029398.2
MonotonicityNot monotonic
2023-12-11T03:29:24.704580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17 2
 
2.0%
4048 2
 
2.0%
1290 1
 
1.0%
1871 1
 
1.0%
1116 1
 
1.0%
1342 1
 
1.0%
1447 1
 
1.0%
1330 1
 
1.0%
1171 1
 
1.0%
1027 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
2 1
1.0%
5 1
1.0%
9 1
1.0%
11 1
1.0%
16 1
1.0%
17 2
2.0%
32 1
1.0%
45 1
1.0%
50 1
1.0%
78 1
1.0%
ValueCountFrequency (%)
4683 1
1.0%
4382 1
1.0%
4373 1
1.0%
4362 1
1.0%
4227 1
1.0%
4164 1
1.0%
4152 1
1.0%
4132 1
1.0%
4098 1
1.0%
4095 1
1.0%

수성구 여
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2287.4752
Minimum11
Maximum5187
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:29:25.002904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile58
Q11301
median2169
Q33269
95-th percentile4804
Maximum5187
Range5176
Interquartile range (IQR)1968

Descriptive statistics

Standard deviation1396.2339
Coefficient of variation (CV)0.61038206
Kurtosis-0.73979893
Mean2287.4752
Median Absolute Deviation (MAD)980
Skewness0.13361544
Sum231035
Variance1949469
MonotonicityNot monotonic
2023-12-11T03:29:25.321354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1245 1
 
1.0%
1919 1
 
1.0%
1533 1
 
1.0%
1707 1
 
1.0%
1843 1
 
1.0%
1664 1
 
1.0%
1532 1
 
1.0%
1086 1
 
1.0%
1931 1
 
1.0%
1968 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
11 1
1.0%
27 1
1.0%
28 1
1.0%
30 1
1.0%
56 1
1.0%
58 1
1.0%
60 1
1.0%
130 1
1.0%
150 1
1.0%
157 1
1.0%
ValueCountFrequency (%)
5187 1
1.0%
5156 1
1.0%
5133 1
1.0%
4955 1
1.0%
4848 1
1.0%
4804 1
1.0%
4524 1
1.0%
4398 1
1.0%
4240 1
1.0%
4218 1
1.0%

달서구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6002.297
Minimum11
Maximum12265
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:29:25.603012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile67
Q12579
median6180
Q39365
95-th percentile11373
Maximum12265
Range12254
Interquartile range (IQR)6786

Descriptive statistics

Standard deviation3796.4675
Coefficient of variation (CV)0.63250243
Kurtosis-1.2412042
Mean6002.297
Median Absolute Deviation (MAD)3242
Skewness-0.1852127
Sum606232
Variance14413165
MonotonicityNot monotonic
2023-12-11T03:29:25.886208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4928 1
 
1.0%
4615 1
 
1.0%
2848 1
 
1.0%
3425 1
 
1.0%
3647 1
 
1.0%
3110 1
 
1.0%
3084 1
 
1.0%
2409 1
 
1.0%
4109 1
 
1.0%
4464 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
11 1
1.0%
15 1
1.0%
23 1
1.0%
44 1
1.0%
60 1
1.0%
67 1
1.0%
77 1
1.0%
144 1
1.0%
168 1
1.0%
194 1
1.0%
ValueCountFrequency (%)
12265 1
1.0%
12211 1
1.0%
11628 1
1.0%
11606 1
1.0%
11448 1
1.0%
11373 1
1.0%
11354 1
1.0%
11119 1
1.0%
11107 1
1.0%
11067 1
1.0%

달서구 남
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2985.6931
Minimum3
Maximum6017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:29:26.205611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile12
Q11052
median3142
Q34686
95-th percentile5496
Maximum6017
Range6014
Interquartile range (IQR)3634

Descriptive statistics

Standard deviation1954.865
Coefficient of variation (CV)0.65474411
Kurtosis-1.3602285
Mean2985.6931
Median Absolute Deviation (MAD)1735
Skewness-0.25771664
Sum301555
Variance3821497
MonotonicityNot monotonic
2023-12-11T03:29:26.479123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4267 2
 
2.0%
3 2
 
2.0%
5 2
 
2.0%
2512 1
 
1.0%
1625 1
 
1.0%
1339 1
 
1.0%
1407 1
 
1.0%
1163 1
 
1.0%
1958 1
 
1.0%
2174 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
3 2
2.0%
5 2
2.0%
9 1
1.0%
12 1
1.0%
14 1
1.0%
30 1
1.0%
41 1
1.0%
54 1
1.0%
61 1
1.0%
78 1
1.0%
ValueCountFrequency (%)
6017 1
1.0%
5830 1
1.0%
5785 1
1.0%
5564 1
1.0%
5548 1
1.0%
5496 1
1.0%
5481 1
1.0%
5420 1
1.0%
5419 1
1.0%
5372 1
1.0%

달서구 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3016.604
Minimum8
Maximum6426
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:29:26.763962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile58
Q11553
median3041
Q34435
95-th percentile5825
Maximum6426
Range6418
Interquartile range (IQR)2882

Descriptive statistics

Standard deviation1862.3694
Coefficient of variation (CV)0.61737284
Kurtosis-1.0586216
Mean3016.604
Median Absolute Deviation (MAD)1418
Skewness-0.062965342
Sum304677
Variance3468419.6
MonotonicityNot monotonic
2023-12-11T03:29:27.029099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2567 2
 
2.0%
2416 1
 
1.0%
2451 1
 
1.0%
1634 1
 
1.0%
1672 1
 
1.0%
1965 1
 
1.0%
2022 1
 
1.0%
1771 1
 
1.0%
1677 1
 
1.0%
1246 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
8 1
1.0%
12 1
1.0%
18 1
1.0%
39 1
1.0%
46 1
1.0%
58 1
1.0%
65 1
1.0%
114 1
1.0%
127 1
1.0%
140 1
1.0%
ValueCountFrequency (%)
6426 1
1.0%
6248 1
1.0%
6042 1
1.0%
5952 1
1.0%
5935 1
1.0%
5825 1
1.0%
5823 1
1.0%
5798 1
1.0%
5793 1
1.0%
5790 1
1.0%

달성군 계
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1868.3762
Minimum6
Maximum3676
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:29:27.263565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile25
Q1979
median1967
Q32697
95-th percentile3391
Maximum3676
Range3670
Interquartile range (IQR)1718

Descriptive statistics

Standard deviation1106.6242
Coefficient of variation (CV)0.59229197
Kurtosis-1.0704315
Mean1868.3762
Median Absolute Deviation (MAD)954
Skewness-0.26857296
Sum188706
Variance1224617.2
MonotonicityNot monotonic
2023-12-11T03:29:27.531628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1891 2
 
2.0%
1967 2
 
2.0%
3191 2
 
2.0%
1849 1
 
1.0%
1660 1
 
1.0%
1013 1
 
1.0%
1116 1
 
1.0%
1225 1
 
1.0%
1326 1
 
1.0%
1119 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
6 1
1.0%
10 1
1.0%
12 1
1.0%
20 1
1.0%
21 1
1.0%
25 1
1.0%
33 1
1.0%
57 1
1.0%
76 1
1.0%
85 1
1.0%
ValueCountFrequency (%)
3676 1
1.0%
3575 1
1.0%
3437 1
1.0%
3430 1
1.0%
3409 1
1.0%
3391 1
1.0%
3367 1
1.0%
3357 1
1.0%
3356 1
1.0%
3337 1
1.0%

달성군 남
Real number (ℝ)

Distinct97
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean955.22772
Minimum2
Maximum1935
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:29:27.796287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile7
Q1369
median1048
Q31440
95-th percentile1759
Maximum1935
Range1933
Interquartile range (IQR)1071

Descriptive statistics

Standard deviation601.99173
Coefficient of variation (CV)0.63020755
Kurtosis-1.2296829
Mean955.22772
Median Absolute Deviation (MAD)527
Skewness-0.29105136
Sum96478
Variance362394.04
MonotonicityNot monotonic
2023-12-11T03:29:28.079007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
369 2
 
2.0%
2 2
 
2.0%
7 2
 
2.0%
1178 2
 
2.0%
973 1
 
1.0%
587 1
 
1.0%
469 1
 
1.0%
502 1
 
1.0%
431 1
 
1.0%
606 1
 
1.0%
Other values (87) 87
86.1%
ValueCountFrequency (%)
2 2
2.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
7 2
2.0%
13 1
1.0%
16 1
1.0%
22 1
1.0%
29 1
1.0%
30 1
1.0%
ValueCountFrequency (%)
1935 1
1.0%
1798 1
1.0%
1796 1
1.0%
1789 1
1.0%
1772 1
1.0%
1759 1
1.0%
1755 1
1.0%
1753 1
1.0%
1736 1
1.0%
1734 1
1.0%

달성군 여
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean913.14851
Minimum4
Maximum1777
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:29:28.323872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile20
Q1564
median949
Q31257
95-th percentile1641
Maximum1777
Range1773
Interquartile range (IQR)693

Descriptive statistics

Standard deviation511.3
Coefficient of variation (CV)0.55993082
Kurtosis-0.87441596
Mean913.14851
Median Absolute Deviation (MAD)385
Skewness-0.23010782
Sum92228
Variance261427.69
MonotonicityNot monotonic
2023-12-11T03:29:28.582827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1641 2
 
2.0%
1119 2
 
2.0%
63 2
 
2.0%
900 1
 
1.0%
786 1
 
1.0%
693 1
 
1.0%
727 1
 
1.0%
739 1
 
1.0%
650 1
 
1.0%
564 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
4 1
1.0%
7 1
1.0%
10 1
1.0%
13 1
1.0%
17 1
1.0%
20 1
1.0%
26 1
1.0%
41 1
1.0%
63 2
2.0%
84 1
1.0%
ValueCountFrequency (%)
1777 1
1.0%
1741 1
1.0%
1701 1
1.0%
1679 1
1.0%
1655 1
1.0%
1641 2
2.0%
1620 1
1.0%
1616 1
1.0%
1603 1
1.0%
1602 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
00세1879464531133430291588144111185955239434754683747193018172535129012454928251224161849949900
11세19467590317273307515291546123663759910465215253874198418902720141913015035256224731891942949
22세2091463032830233041682162213656806851035563472414221511991305615821474528326902593209910921007
33세2153260132227933561730162612406236171030535495427722072070328516351650552128042717222211281094
44세218396323053273305173415711320675645930477453427022512019356118001761562528962729219611511045
55세2015352328623730191567145210785505288604564043949206118883466179416725297276325341961990971
66세20774526275251289314961397110755255594249744540892087200238762051182553742807256719671024943
77세226595392842553077154515321191596595101252348944502329212145952375222057753014276120201039981
88세2149150226823428081442136611495396109304904404323224320804480232621545408277626321891964927
99세2088747825622225701347122311406075339305144164165214920164534241621185303273625671767940827
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
9191세101953143915928131951679991980136331032075015719454140761363
9292세1029661551145271189111801153184164261381954515016841127852263
9393세75442636120229864154965155010017831623213014430114571641
9494세45630624772057375324393482146877176077126533726
9595세37926101662125026521458376075375175860144625520
9696세25213112501634204162561940634399304453921417
9797세179101931724262242351817314391128235181037
9898세14614<NA>143092116<NA>161221015411325271531212210
9999세9291820119101971616214132111138624
100100세 이상5207717608814748124575414406116457216566795820713