Overview

Dataset statistics

Number of variables26
Number of observations101
Missing cells3
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 1월말 대구 주민등록 인구통계
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3077757&dataSetDetailId=30777571cf8b5d85e2f0_201705311626&provdMethod=FILE

Alerts

중구 남 has 2 (2.0%) missing valuesMissing
구분 has unique valuesUnique
총계 has unique valuesUnique
서구 여 has unique valuesUnique
북구 계 has unique valuesUnique
달서구 계 has unique valuesUnique

Reproduction

Analysis started2023-12-10 19:48:43.255013
Analysis finished2023-12-10 19:48:43.599528
Duration0.34 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
2023-12-11T04:48:43.971382image/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%
2023-12-11T04:48:44.635057image/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%
Mean24679.782
Minimum94
Maximum47866
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T04:48:44.863452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum94
5-th percentile498
Q113978
median24700
Q336888
95-th percentile45792
Maximum47866
Range47772
Interquartile range (IQR)22910

Descriptive statistics

Standard deviation14636.145
Coefficient of variation (CV)0.59304191
Kurtosis-1.0853378
Mean24679.782
Median Absolute Deviation (MAD)11406
Skewness-0.26698327
Sum2492658
Variance2.1421675 × 108
MonotonicityNot monotonic
2023-12-11T04:48:45.111988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18509 1
 
1.0%
22743 1
 
1.0%
14694 1
 
1.0%
17095 1
 
1.0%
20447 1
 
1.0%
17509 1
 
1.0%
16772 1
 
1.0%
13978 1
 
1.0%
16763 1
 
1.0%
22624 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
94 1
1.0%
124 1
1.0%
207 1
1.0%
228 1
1.0%
344 1
1.0%
498 1
1.0%
511 1
1.0%
670 1
1.0%
969 1
1.0%
1152 1
1.0%
ValueCountFrequency (%)
47866 1
1.0%
47111 1
1.0%
46613 1
1.0%
46247 1
1.0%
46102 1
1.0%
45792 1
1.0%
45772 1
1.0%
45755 1
1.0%
44864 1
1.0%
44358 1
1.0%

중구 계
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean780.62376
Minimum10
Maximum1436
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T04:48:45.323687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile38
Q1480
median862
Q31139
95-th percentile1318
Maximum1436
Range1426
Interquartile range (IQR)659

Descriptive statistics

Standard deviation422.70176
Coefficient of variation (CV)0.5414923
Kurtosis-1.0540192
Mean780.62376
Median Absolute Deviation (MAD)315
Skewness-0.41525683
Sum78843
Variance178676.78
MonotonicityNot monotonic
2023-12-11T04:48:45.560929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
547 2
 
2.0%
1146 2
 
2.0%
942 1
 
1.0%
816 1
 
1.0%
976 1
 
1.0%
862 1
 
1.0%
854 1
 
1.0%
686 1
 
1.0%
811 1
 
1.0%
1046 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
10 1
1.0%
12 1
1.0%
14 1
1.0%
15 1
1.0%
21 1
1.0%
38 1
1.0%
41 1
1.0%
48 1
1.0%
70 1
1.0%
73 1
1.0%
ValueCountFrequency (%)
1436 1
1.0%
1382 1
1.0%
1374 1
1.0%
1361 1
1.0%
1321 1
1.0%
1318 1
1.0%
1313 1
1.0%
1312 1
1.0%
1303 1
1.0%
1301 1
1.0%

중구 남
Real number (ℝ)

MISSING 

Distinct88
Distinct (%)88.9%
Missing2
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean388.50505
Minimum1
Maximum717
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T04:48:45.791185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.7
Q1251
median423
Q3572
95-th percentile662.2
Maximum717
Range716
Interquartile range (IQR)321

Descriptive statistics

Standard deviation215.82279
Coefficient of variation (CV)0.5555212
Kurtosis-1.056218
Mean388.50505
Median Absolute Deviation (MAD)161
Skewness-0.39995743
Sum38462
Variance46579.477
MonotonicityNot monotonic
2023-12-11T04:48:46.023145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
572 3
 
3.0%
21 2
 
2.0%
555 2
 
2.0%
556 2
 
2.0%
613 2
 
2.0%
601 2
 
2.0%
633 2
 
2.0%
498 2
 
2.0%
610 2
 
2.0%
293 2
 
2.0%
Other values (78) 78
77.2%
(Missing) 2
 
2.0%
ValueCountFrequency (%)
1 1
1.0%
3 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
10 1
1.0%
15 1
1.0%
16 1
1.0%
21 2
2.0%
35 1
1.0%
ValueCountFrequency (%)
717 1
1.0%
705 1
1.0%
698 1
1.0%
696 1
1.0%
664 1
1.0%
662 1
1.0%
656 1
1.0%
653 1
1.0%
634 1
1.0%
633 2
2.0%

중구 여
Real number (ℝ)

Distinct93
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean399.81188
Minimum10
Maximum731
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T04:48:46.259286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile28
Q1252
median459
Q3564
95-th percentile685
Maximum731
Range721
Interquartile range (IQR)312

Descriptive statistics

Standard deviation206.84181
Coefficient of variation (CV)0.51734783
Kurtosis-0.97820647
Mean399.81188
Median Absolute Deviation (MAD)157
Skewness-0.39737085
Sum40381
Variance42783.534
MonotonicityNot monotonic
2023-12-11T04:48:46.551734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
491 2
 
2.0%
252 2
 
2.0%
488 2
 
2.0%
11 2
 
2.0%
578 2
 
2.0%
509 2
 
2.0%
657 2
 
2.0%
554 2
 
2.0%
392 1
 
1.0%
405 1
 
1.0%
Other values (83) 83
82.2%
ValueCountFrequency (%)
10 1
1.0%
11 2
2.0%
15 1
1.0%
16 1
1.0%
28 1
1.0%
34 1
1.0%
42 1
1.0%
49 1
1.0%
58 1
1.0%
59 1
1.0%
ValueCountFrequency (%)
731 1
1.0%
729 1
1.0%
705 1
1.0%
693 1
1.0%
688 1
1.0%
685 1
1.0%
682 1
1.0%
670 1
1.0%
657 2
2.0%
646 1
1.0%

동구 계
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3446.7624
Minimum16
Maximum6683
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T04:48:46.794043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile84
Q12434
median3757
Q35214
95-th percentile5882
Maximum6683
Range6667
Interquartile range (IQR)2780

Descriptive statistics

Standard deviation1929.1737
Coefficient of variation (CV)0.55970605
Kurtosis-0.93183162
Mean3446.7624
Median Absolute Deviation (MAD)1457
Skewness-0.39810239
Sum348123
Variance3721711.3
MonotonicityNot monotonic
2023-12-11T04:48:47.051137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5625 2
 
2.0%
2956 1
 
1.0%
3757 1
 
1.0%
2527 1
 
1.0%
2941 1
 
1.0%
3511 1
 
1.0%
3058 1
 
1.0%
2892 1
 
1.0%
2434 1
 
1.0%
2907 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
16 1
1.0%
24 1
1.0%
37 1
1.0%
39 1
1.0%
63 1
1.0%
84 1
1.0%
90 1
1.0%
106 1
1.0%
143 1
1.0%
168 1
1.0%
ValueCountFrequency (%)
6683 1
1.0%
6421 1
1.0%
6410 1
1.0%
5986 1
1.0%
5905 1
1.0%
5882 1
1.0%
5815 1
1.0%
5799 1
1.0%
5750 1
1.0%
5742 1
1.0%

동구 남
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1719.901
Minimum1
Maximum3187
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T04:48:47.288159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15
Q11079
median1862
Q32624
95-th percentile3019
Maximum3187
Range3186
Interquartile range (IQR)1545

Descriptive statistics

Standard deviation1011.107
Coefficient of variation (CV)0.58788672
Kurtosis-1.0796794
Mean1719.901
Median Absolute Deviation (MAD)775
Skewness-0.43848086
Sum173710
Variance1022337.3
MonotonicityNot monotonic
2023-12-11T04:48:47.920460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1286 2
 
2.0%
18 2
 
2.0%
1499 1
 
1.0%
2396 1
 
1.0%
1561 1
 
1.0%
1343 1
 
1.0%
1109 1
 
1.0%
1338 1
 
1.0%
1832 1
 
1.0%
1824 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
1 1
1.0%
4 1
1.0%
8 1
1.0%
12 1
1.0%
14 1
1.0%
15 1
1.0%
18 2
2.0%
31 1
1.0%
33 1
1.0%
49 1
1.0%
ValueCountFrequency (%)
3187 1
1.0%
3055 1
1.0%
3053 1
1.0%
3049 1
1.0%
3024 1
1.0%
3019 1
1.0%
3006 1
1.0%
2939 1
1.0%
2937 1
1.0%
2928 1
1.0%

동구 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1726.8614
Minimum15
Maximum3496
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T04:48:48.155929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile66
Q11250
median1775
Q32579
95-th percentile3005
Maximum3496
Range3481
Interquartile range (IQR)1329

Descriptive statistics

Standard deviation935.82256
Coefficient of variation (CV)0.54192106
Kurtosis-0.76930273
Mean1726.8614
Median Absolute Deviation (MAD)708
Skewness-0.29260154
Sum174413
Variance875763.86
MonotonicityNot monotonic
2023-12-11T04:48:48.428075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1813 2
 
2.0%
2170 1
 
1.0%
1491 1
 
1.0%
1401 1
 
1.0%
1655 1
 
1.0%
1950 1
 
1.0%
1715 1
 
1.0%
1606 1
 
1.0%
1325 1
 
1.0%
1569 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
15 1
1.0%
20 1
1.0%
25 1
1.0%
31 1
1.0%
45 1
1.0%
66 1
1.0%
76 1
1.0%
91 1
1.0%
112 1
1.0%
135 1
1.0%
ValueCountFrequency (%)
3496 1
1.0%
3391 1
1.0%
3366 1
1.0%
3061 1
1.0%
3027 1
1.0%
3005 1
1.0%
2945 1
1.0%
2942 1
1.0%
2911 1
1.0%
2881 1
1.0%

서구 계
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2084.3069
Minimum6
Maximum4591
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T04:48:48.692239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile30
Q11147
median2419
Q33073
95-th percentile3986
Maximum4591
Range4585
Interquartile range (IQR)1926

Descriptive statistics

Standard deviation1300.3536
Coefficient of variation (CV)0.62387817
Kurtosis-1.0647387
Mean2084.3069
Median Absolute Deviation (MAD)1060
Skewness-0.067876726
Sum210515
Variance1690919.5
MonotonicityNot monotonic
2023-12-11T04:48:48.949522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30 2
 
2.0%
1159 1
 
1.0%
2666 1
 
1.0%
1774 1
 
1.0%
2203 1
 
1.0%
1850 1
 
1.0%
1839 1
 
1.0%
1429 1
 
1.0%
1753 1
 
1.0%
2419 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
6 1
1.0%
12 1
1.0%
25 1
1.0%
26 1
1.0%
30 2
2.0%
58 1
1.0%
82 1
1.0%
83 1
1.0%
103 1
1.0%
138 1
1.0%
ValueCountFrequency (%)
4591 1
1.0%
4550 1
1.0%
4497 1
1.0%
4425 1
1.0%
4002 1
1.0%
3986 1
1.0%
3897 1
1.0%
3817 1
1.0%
3794 1
1.0%
3752 1
1.0%

서구 남
Real number (ℝ)

Distinct97
Distinct (%)97.0%
Missing1
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean1065.88
Minimum1
Maximum2285
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T04:48:49.178551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.95
Q1564.5
median1188
Q31645.25
95-th percentile2000.55
Maximum2285
Range2284
Interquartile range (IQR)1080.75

Descriptive statistics

Standard deviation686.35349
Coefficient of variation (CV)0.6439313
Kurtosis-1.2739462
Mean1065.88
Median Absolute Deviation (MAD)563
Skewness-0.15664443
Sum106588
Variance471081.12
MonotonicityNot monotonic
2023-12-11T04:48:49.417217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1608 2
 
2.0%
1471 2
 
2.0%
5 2
 
2.0%
1224 1
 
1.0%
769 1
 
1.0%
993 1
 
1.0%
802 1
 
1.0%
822 1
 
1.0%
692 1
 
1.0%
800 1
 
1.0%
Other values (87) 87
86.1%
ValueCountFrequency (%)
1 1
1.0%
3 1
1.0%
5 2
2.0%
7 1
1.0%
8 1
1.0%
13 1
1.0%
15 1
1.0%
24 1
1.0%
26 1
1.0%
28 1
1.0%
ValueCountFrequency (%)
2285 1
1.0%
2210 1
1.0%
2198 1
1.0%
2186 1
1.0%
2011 1
1.0%
2000 1
1.0%
1982 1
1.0%
1961 1
1.0%
1944 1
1.0%
1916 1
1.0%

서구 여
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1028.9802
Minimum6
Maximum2364
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T04:48:49.654610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile25
Q1587
median1120
Q31410
95-th percentile1991
Maximum2364
Range2358
Interquartile range (IQR)823

Descriptive statistics

Standard deviation622.1843
Coefficient of variation (CV)0.6046611
Kurtosis-0.7643748
Mean1028.9802
Median Absolute Deviation (MAD)463
Skewness0.080940098
Sum103927
Variance387113.3
MonotonicityNot monotonic
2023-12-11T04:48:49.867558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
549 1
 
1.0%
1198 1
 
1.0%
837 1
 
1.0%
1005 1
 
1.0%
1210 1
 
1.0%
1048 1
 
1.0%
1017 1
 
1.0%
737 1
 
1.0%
953 1
 
1.0%
1325 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
6 1
1.0%
11 1
1.0%
21 1
1.0%
22 1
1.0%
23 1
1.0%
25 1
1.0%
50 1
1.0%
58 1
1.0%
68 1
1.0%
90 1
1.0%
ValueCountFrequency (%)
2364 1
1.0%
2306 1
1.0%
2287 1
1.0%
2227 1
1.0%
2005 1
1.0%
1991 1
1.0%
1986 1
1.0%
1969 1
1.0%
1936 1
1.0%
1924 1
1.0%

남구 계
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1617.2673
Minimum8
Maximum3201
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T04:48:50.093116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile47
Q1944
median1893
Q32402
95-th percentile2922
Maximum3201
Range3193
Interquartile range (IQR)1458

Descriptive statistics

Standard deviation919.63677
Coefficient of variation (CV)0.56863622
Kurtosis-1.0784967
Mean1617.2673
Median Absolute Deviation (MAD)720
Skewness-0.29428529
Sum163344
Variance845731.8
MonotonicityNot monotonic
2023-12-11T04:48:50.341820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 2
 
2.0%
940 2
 
2.0%
2133 2
 
2.0%
943 1
 
1.0%
1914 1
 
1.0%
1408 1
 
1.0%
1645 1
 
1.0%
1896 1
 
1.0%
1650 1
 
1.0%
1503 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
8 2
2.0%
22 1
1.0%
25 1
1.0%
31 1
1.0%
47 1
1.0%
57 1
1.0%
58 1
1.0%
104 1
1.0%
110 1
1.0%
132 1
1.0%
ValueCountFrequency (%)
3201 1
1.0%
3164 1
1.0%
3056 1
1.0%
3008 1
1.0%
2952 1
1.0%
2922 1
1.0%
2793 1
1.0%
2730 1
1.0%
2720 1
1.0%
2687 1
1.0%

남구 남
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean788.93069
Minimum2
Maximum1468
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T04:48:50.565376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile7
Q1478
median906
Q31182
95-th percentile1403
Maximum1468
Range1466
Interquartile range (IQR)704

Descriptive statistics

Standard deviation469.9966
Coefficient of variation (CV)0.59573877
Kurtosis-1.2241284
Mean788.93069
Median Absolute Deviation (MAD)373
Skewness-0.32627638
Sum79682
Variance220896.81
MonotonicityNot monotonic
2023-12-11T04:48:50.773910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1079 2
 
2.0%
7 2
 
2.0%
1329 2
 
2.0%
478 1
 
1.0%
948 1
 
1.0%
581 1
 
1.0%
709 1
 
1.0%
845 1
 
1.0%
707 1
 
1.0%
661 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
7 2
2.0%
12 1
1.0%
15 1
1.0%
24 1
1.0%
25 1
1.0%
32 1
1.0%
ValueCountFrequency (%)
1468 1
1.0%
1452 1
1.0%
1451 1
1.0%
1433 1
1.0%
1408 1
1.0%
1403 1
1.0%
1364 1
1.0%
1362 1
1.0%
1355 1
1.0%
1346 1
1.0%

남구 여
Real number (ℝ)

Distinct95
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean828.33663
Minimum5
Maximum1733
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T04:48:51.000740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile32
Q1462
median915
Q31168
95-th percentile1514
Maximum1733
Range1728
Interquartile range (IQR)706

Descriptive statistics

Standard deviation459.58271
Coefficient of variation (CV)0.55482601
Kurtosis-0.91132874
Mean828.33663
Median Absolute Deviation (MAD)363
Skewness-0.20295288
Sum83662
Variance211216.27
MonotonicityNot monotonic
2023-12-11T04:48:51.220965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1605 2
 
2.0%
1137 2
 
2.0%
943 2
 
2.0%
428 2
 
2.0%
1161 2
 
2.0%
936 2
 
2.0%
1140 1
 
1.0%
720 1
 
1.0%
837 1
 
1.0%
827 1
 
1.0%
Other values (85) 85
84.2%
ValueCountFrequency (%)
5 1
1.0%
6 1
1.0%
18 1
1.0%
20 1
1.0%
24 1
1.0%
32 1
1.0%
45 1
1.0%
51 1
1.0%
79 1
1.0%
86 1
1.0%
ValueCountFrequency (%)
1733 1
1.0%
1712 1
1.0%
1605 2
2.0%
1519 1
1.0%
1514 1
1.0%
1464 1
1.0%
1463 1
1.0%
1386 1
1.0%
1369 1
1.0%
1357 1
1.0%

북구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4398.8317
Minimum10
Maximum8915
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T04:48:51.455271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile61
Q12174
median4663
Q36630
95-th percentile8374
Maximum8915
Range8905
Interquartile range (IQR)4456

Descriptive statistics

Standard deviation2705.4016
Coefficient of variation (CV)0.61502731
Kurtosis-1.1138092
Mean4398.8317
Median Absolute Deviation (MAD)2154
Skewness-0.21542386
Sum444282
Variance7319197.8
MonotonicityNot monotonic
2023-12-11T04:48:51.657992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3687 1
 
1.0%
3509 1
 
1.0%
2369 1
 
1.0%
2730 1
 
1.0%
3308 1
 
1.0%
2732 1
 
1.0%
2683 1
 
1.0%
2174 1
 
1.0%
2581 1
 
1.0%
3531 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
10 1
1.0%
18 1
1.0%
22 1
1.0%
32 1
1.0%
48 1
1.0%
61 1
1.0%
95 1
1.0%
96 1
1.0%
143 1
1.0%
175 1
1.0%
ValueCountFrequency (%)
8915 1
1.0%
8736 1
1.0%
8704 1
1.0%
8685 1
1.0%
8684 1
1.0%
8374 1
1.0%
8294 1
1.0%
8137 1
1.0%
8079 1
1.0%
7940 1
1.0%

북구 남
Real number (ℝ)

Distinct97
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2203.6139
Minimum1
Maximum4514
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T04:48:51.869864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15
Q1982
median2444
Q33399
95-th percentile4114
Maximum4514
Range4513
Interquartile range (IQR)2417

Descriptive statistics

Standard deviation1418.4783
Coefficient of variation (CV)0.64370549
Kurtosis-1.2556152
Mean2203.6139
Median Absolute Deviation (MAD)1156
Skewness-0.2574498
Sum222565
Variance2012080.8
MonotonicityNot monotonic
2023-12-11T04:48:52.072472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 2
 
2.0%
5 2
 
2.0%
2183 2
 
2.0%
15 2
 
2.0%
1886 1
 
1.0%
2207 1
 
1.0%
1177 1
 
1.0%
1110 1
 
1.0%
999 1
 
1.0%
1207 1
 
1.0%
Other values (87) 87
86.1%
ValueCountFrequency (%)
1 1
1.0%
5 2
2.0%
6 2
2.0%
15 2
2.0%
18 1
1.0%
27 1
1.0%
35 1
1.0%
49 1
1.0%
61 1
1.0%
73 1
1.0%
ValueCountFrequency (%)
4514 1
1.0%
4385 1
1.0%
4367 1
1.0%
4301 1
1.0%
4263 1
1.0%
4114 1
1.0%
4096 1
1.0%
4089 1
1.0%
4065 1
1.0%
4033 1
1.0%

북구 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2195.2178
Minimum9
Maximum4422
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T04:48:52.309066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile46
Q11250
median2220
Q33120
95-th percentile4285
Maximum4422
Range4413
Interquartile range (IQR)1870

Descriptive statistics

Standard deviation1299.541
Coefficient of variation (CV)0.59198728
Kurtosis-0.94577356
Mean2195.2178
Median Absolute Deviation (MAD)921
Skewness-0.14525894
Sum221717
Variance1688806.9
MonotonicityNot monotonic
2023-12-11T04:48:52.492013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2318 2
 
2.0%
1801 1
 
1.0%
2006 1
 
1.0%
1387 1
 
1.0%
1579 1
 
1.0%
1789 1
 
1.0%
1555 1
 
1.0%
1573 1
 
1.0%
1175 1
 
1.0%
1374 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
9 1
1.0%
13 1
1.0%
16 1
1.0%
26 1
1.0%
43 1
1.0%
46 1
1.0%
77 1
1.0%
81 1
1.0%
116 1
1.0%
136 1
1.0%
ValueCountFrequency (%)
4422 1
1.0%
4401 1
1.0%
4383 1
1.0%
4351 1
1.0%
4337 1
1.0%
4285 1
1.0%
4198 1
1.0%
4167 1
1.0%
4023 1
1.0%
3944 1
1.0%

수성구 계
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4514.2772
Minimum15
Maximum9846
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T04:48:52.705533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile68
Q12380
median4564
Q36807
95-th percentile8764
Maximum9846
Range9831
Interquartile range (IQR)4427

Descriptive statistics

Standard deviation2833.8575
Coefficient of variation (CV)0.62775442
Kurtosis-1.0631078
Mean4514.2772
Median Absolute Deviation (MAD)2243
Skewness-0.010264222
Sum455942
Variance8030748.3
MonotonicityNot monotonic
2023-12-11T04:48:52.937358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3404 2
 
2.0%
2584 1
 
1.0%
3824 1
 
1.0%
2585 1
 
1.0%
2495 1
 
1.0%
2865 1
 
1.0%
2994 1
 
1.0%
2833 1
 
1.0%
2380 1
 
1.0%
2796 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
15 1
1.0%
20 1
1.0%
36 1
1.0%
48 1
1.0%
67 1
1.0%
68 1
1.0%
82 1
1.0%
154 1
1.0%
194 1
1.0%
229 1
1.0%
ValueCountFrequency (%)
9846 1
1.0%
9610 1
1.0%
9602 1
1.0%
9388 1
1.0%
9287 1
1.0%
8764 1
1.0%
8383 1
1.0%
8352 1
1.0%
8212 1
1.0%
8185 1
1.0%

수성구 남
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2209.9802
Minimum3
Maximum4753
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T04:48:53.134744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile15
Q11046
median2342
Q33487
95-th percentile4295
Maximum4753
Range4750
Interquartile range (IQR)2441

Descriptive statistics

Standard deviation1449.1157
Coefficient of variation (CV)0.65571432
Kurtosis-1.2142675
Mean2209.9802
Median Absolute Deviation (MAD)1293
Skewness-0.053437168
Sum223208
Variance2099936.2
MonotonicityNot monotonic
2023-12-11T04:48:53.335575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 2
 
2.0%
1343 1
 
1.0%
1849 1
 
1.0%
1218 1
 
1.0%
1520 1
 
1.0%
1308 1
 
1.0%
1290 1
 
1.0%
1066 1
 
1.0%
1303 1
 
1.0%
1734 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
3 1
1.0%
4 1
1.0%
10 2
2.0%
14 1
1.0%
15 1
1.0%
19 1
1.0%
30 1
1.0%
40 1
1.0%
55 1
1.0%
70 1
1.0%
ValueCountFrequency (%)
4753 1
1.0%
4406 1
1.0%
4390 1
1.0%
4380 1
1.0%
4336 1
1.0%
4295 1
1.0%
4263 1
1.0%
4241 1
1.0%
4204 1
1.0%
4197 1
1.0%

수성구 여
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2304.297
Minimum12
Maximum5222
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T04:48:53.552411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile53
Q11314
median2128
Q33248
95-th percentile4863
Maximum5222
Range5210
Interquartile range (IQR)1934

Descriptive statistics

Standard deviation1415.8526
Coefficient of variation (CV)0.61444013
Kurtosis-0.75700702
Mean2304.297
Median Absolute Deviation (MAD)1038
Skewness0.14042913
Sum232734
Variance2004638.5
MonotonicityNot monotonic
2023-12-11T04:48:53.783924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1661 2
 
2.0%
53 2
 
2.0%
3167 2
 
2.0%
1241 1
 
1.0%
2084 1
 
1.0%
1449 1
 
1.0%
1647 1
 
1.0%
1884 1
 
1.0%
1686 1
 
1.0%
1543 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
12 1
1.0%
16 1
1.0%
26 1
1.0%
38 1
1.0%
53 2
2.0%
63 1
1.0%
124 1
1.0%
154 1
1.0%
174 1
1.0%
185 1
1.0%
ValueCountFrequency (%)
5222 1
1.0%
5204 1
1.0%
5125 1
1.0%
5093 1
1.0%
4897 1
1.0%
4863 1
1.0%
4725 1
1.0%
4313 1
1.0%
4226 1
1.0%
4186 1
1.0%

달서구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6005.4158
Minimum16
Maximum12177
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T04:48:54.373937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile59
Q12640
median6181
Q39217
95-th percentile11594
Maximum12177
Range12161
Interquartile range (IQR)6577

Descriptive statistics

Standard deviation3823.473
Coefficient of variation (CV)0.63667082
Kurtosis-1.2631828
Mean6005.4158
Median Absolute Deviation (MAD)3193
Skewness-0.17971372
Sum606547
Variance14618946
MonotonicityNot monotonic
2023-12-11T04:48:54.581130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4837 1
 
1.0%
4798 1
 
1.0%
2667 1
 
1.0%
3151 1
 
1.0%
3818 1
 
1.0%
3203 1
 
1.0%
3105 1
 
1.0%
2640 1
 
1.0%
3347 1
 
1.0%
4488 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
16 1
1.0%
19 1
1.0%
28 1
1.0%
40 1
1.0%
57 1
1.0%
59 1
1.0%
71 1
1.0%
124 1
1.0%
182 1
1.0%
199 1
1.0%
ValueCountFrequency (%)
12177 1
1.0%
11882 1
1.0%
11702 1
1.0%
11698 1
1.0%
11603 1
1.0%
11594 1
1.0%
11455 1
1.0%
11375 1
1.0%
11172 1
1.0%
11078 1
1.0%

달서구 남
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2988.5545
Minimum2
Maximum5915
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T04:48:54.809662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile14
Q11089
median3188
Q34666
95-th percentile5502
Maximum5915
Range5913
Interquartile range (IQR)3577

Descriptive statistics

Standard deviation1969.0453
Coefficient of variation (CV)0.65886211
Kurtosis-1.3847872
Mean2988.5545
Median Absolute Deviation (MAD)1783
Skewness-0.25340488
Sum301844
Variance3877139.4
MonotonicityNot monotonic
2023-12-11T04:48:55.001899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 2
 
2.0%
14 2
 
2.0%
4609 2
 
2.0%
2490 1
 
1.0%
2527 1
 
1.0%
1641 1
 
1.0%
1414 1
 
1.0%
1405 1
 
1.0%
1227 1
 
1.0%
1632 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
2 1
1.0%
3 1
1.0%
5 2
2.0%
10 1
1.0%
14 2
2.0%
21 1
1.0%
41 1
1.0%
52 1
1.0%
68 1
1.0%
89 1
1.0%
ValueCountFrequency (%)
5915 1
1.0%
5808 1
1.0%
5714 1
1.0%
5653 1
1.0%
5511 1
1.0%
5502 1
1.0%
5485 1
1.0%
5433 1
1.0%
5417 1
1.0%
5407 1
1.0%

달서구 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3016.8614
Minimum14
Maximum6369
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T04:48:55.214395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile49
Q11476
median2941
Q34470
95-th percentile5958
Maximum6369
Range6355
Interquartile range (IQR)2994

Descriptive statistics

Standard deviation1876.3677
Coefficient of variation (CV)0.6219602
Kurtosis-1.0695879
Mean3016.8614
Median Absolute Deviation (MAD)1522
Skewness-0.051743701
Sum304703
Variance3520755.8
MonotonicityNot monotonic
2023-12-11T04:48:55.460804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4500 2
 
2.0%
2347 1
 
1.0%
1427 1
 
1.0%
1719 1
 
1.0%
1578 1
 
1.0%
1830 1
 
1.0%
2177 1
 
1.0%
1789 1
 
1.0%
1700 1
 
1.0%
1413 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
14 1
1.0%
16 1
1.0%
23 1
1.0%
35 1
1.0%
43 1
1.0%
49 1
1.0%
57 1
1.0%
103 1
1.0%
141 1
1.0%
147 1
1.0%
ValueCountFrequency (%)
6369 1
1.0%
6200 1
1.0%
6187 1
1.0%
5970 1
1.0%
5967 1
1.0%
5958 1
1.0%
5950 1
1.0%
5942 1
1.0%
5880 1
1.0%
5695 1
1.0%

달성군 계
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1832.297
Minimum9
Maximum3531
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T04:48:55.678816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile27
Q1985
median1966
Q32689
95-th percentile3353
Maximum3531
Range3522
Interquartile range (IQR)1704

Descriptive statistics

Standard deviation1091.7978
Coefficient of variation (CV)0.59586289
Kurtosis-1.0834835
Mean1832.297
Median Absolute Deviation (MAD)925
Skewness-0.25473353
Sum185062
Variance1192022.4
MonotonicityNot monotonic
2023-12-11T04:48:55.881728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1840 2
 
2.0%
9 2
 
2.0%
1537 1
 
1.0%
1013 1
 
1.0%
1173 1
 
1.0%
1331 1
 
1.0%
1160 1
 
1.0%
1063 1
 
1.0%
946 1
 
1.0%
1038 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
9 2
2.0%
14 1
1.0%
18 1
1.0%
21 1
1.0%
27 1
1.0%
40 1
1.0%
44 1
1.0%
72 1
1.0%
94 1
1.0%
98 1
1.0%
ValueCountFrequency (%)
3531 1
1.0%
3479 1
1.0%
3478 1
1.0%
3436 1
1.0%
3355 1
1.0%
3353 1
1.0%
3313 1
1.0%
3310 1
1.0%
3307 1
1.0%
3295 1
1.0%

달성군 남
Real number (ℝ)

Distinct94
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean936.57426
Minimum1
Maximum1856
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T04:48:56.108269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q1388
median1044
Q31436
95-th percentile1761
Maximum1856
Range1855
Interquartile range (IQR)1048

Descriptive statistics

Standard deviation594.35894
Coefficient of variation (CV)0.63460952
Kurtosis-1.2405489
Mean936.57426
Median Absolute Deviation (MAD)501
Skewness-0.27236048
Sum94594
Variance353262.55
MonotonicityNot monotonic
2023-12-11T04:48:56.328093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 3
 
3.0%
1110 2
 
2.0%
3 2
 
2.0%
1761 2
 
2.0%
1436 2
 
2.0%
194 2
 
2.0%
893 1
 
1.0%
781 1
 
1.0%
510 1
 
1.0%
516 1
 
1.0%
Other values (84) 84
83.2%
ValueCountFrequency (%)
1 1
 
1.0%
3 2
2.0%
5 3
3.0%
8 1
 
1.0%
11 1
 
1.0%
19 1
 
1.0%
20 1
 
1.0%
21 1
 
1.0%
31 1
 
1.0%
35 1
 
1.0%
ValueCountFrequency (%)
1856 1
1.0%
1819 1
1.0%
1778 1
1.0%
1777 1
1.0%
1761 2
2.0%
1732 1
1.0%
1724 1
1.0%
1723 1
1.0%
1701 1
1.0%
1692 1
1.0%

달성군 여
Real number (ℝ)

Distinct96
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean895.72277
Minimum4
Maximum1702
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T04:48:56.549194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile24
Q1547
median914
Q31272
95-th percentile1617
Maximum1702
Range1698
Interquartile range (IQR)725

Descriptive statistics

Standard deviation504.29097
Coefficient of variation (CV)0.56299894
Kurtosis-0.89272482
Mean895.72277
Median Absolute Deviation (MAD)362
Skewness-0.22014574
Sum90468
Variance254309.38
MonotonicityNot monotonic
2023-12-11T04:48:56.779642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1050 2
 
2.0%
856 2
 
2.0%
1609 2
 
2.0%
1675 2
 
2.0%
1575 2
 
2.0%
900 1
 
1.0%
722 1
 
1.0%
670 1
 
1.0%
622 1
 
1.0%
712 1
 
1.0%
Other values (86) 86
85.1%
ValueCountFrequency (%)
4 1
1.0%
8 1
1.0%
11 1
1.0%
13 1
1.0%
16 1
1.0%
24 1
1.0%
32 1
1.0%
33 1
1.0%
53 1
1.0%
74 1
1.0%
ValueCountFrequency (%)
1702 1
1.0%
1675 2
2.0%
1663 1
1.0%
1659 1
1.0%
1617 1
1.0%
1609 2
2.0%
1593 1
1.0%
1575 2
2.0%
1571 1
1.0%
1568 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
00세1850955027627429561499145711596105499434784653687188618012584134312414837249023471793893900
11세19312547295252300015051495130863767110575654923888196319252713139613174959249924601840926914
22세2180060631529134621783167914137336801061537524429522502045324316681575560428572747211610851031
33세2110255828627231631641152212916226691021533488423422142020331016491661536527312634216011101050
44세214606013003013294171815761251650601940500440423122371994340417431661559828612737214111011040
55세1990146826820029211539138211225635598844424423877198118963586189116955203274124621840929911
66세21147515260255291814951423113556557094050843242082183202540972140195753422822252019921030962
77세231705713102613088154015481245623622100650949746632444221947012426227558612954290720351044991
88세2089346922824126501400125011625755879445164284229218320464364230020645296274925471779923856
99세2103044424819626331388124511585945649735294444158216319954564243621285294273425601806950856
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
9191세11527021491683313510313901102486175351402295517419952147982177
9292세96948642143311128315681042579143271161944015418241141721953
9393세670417341061591588504715329615811543012412421103441133
9494세498381028841866307235875195187782196371145740832
9595세3442151663184530525317244854367145357144327324
9696세22812111398312652125520326263610264053518513
9797세20715<NA>153712252532222418185134810382852314311
9898세12410<NA>102442012111835226162041619316918
9999세9414311161156<NA>682610191531216214954
100100세 이상51173155890147682245857124561154668155359104921516