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

Description대구 주민등록 인구통계(2015년 3월말 기준)
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3077757&dataSetDetailId=307775718c3d39715e9e_201705311625&provdMethod=FILE

Alerts

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

Reproduction

Analysis started2023-09-29 01:13:05.031033
Analysis finished2023-09-29 01:13:06.103264
Duration1.07 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Text

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
2023-09-29T01:13:06.840198image/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%
2023-09-29T01:13:08.666686image/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%
Mean24672.248
Minimum93
Maximum48123
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:13:09.696789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum93
5-th percentile465
Q113481
median26038
Q336827
95-th percentile45438
Maximum48123
Range48030
Interquartile range (IQR)23346

Descriptive statistics

Standard deviation14580.287
Coefficient of variation (CV)0.59095901
Kurtosis-1.0764062
Mean24672.248
Median Absolute Deviation (MAD)11122
Skewness-0.27077457
Sum2491897
Variance2.1258477 × 108
MonotonicityNot monotonic
2023-09-29T01:13:10.437763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18623 1
 
1.0%
22442 1
 
1.0%
15000 1
 
1.0%
17842 1
 
1.0%
20428 1
 
1.0%
16859 1
 
1.0%
16430 1
 
1.0%
13382 1
 
1.0%
18897 1
 
1.0%
22355 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
93 1
1.0%
134 1
1.0%
192 1
1.0%
236 1
1.0%
360 1
1.0%
465 1
1.0%
518 1
1.0%
724 1
1.0%
982 1
1.0%
1117 1
1.0%
ValueCountFrequency (%)
48123 1
1.0%
47539 1
1.0%
46285 1
1.0%
45839 1
1.0%
45566 1
1.0%
45438 1
1.0%
45349 1
1.0%
45341 1
1.0%
45134 1
1.0%
44027 1
1.0%

중구 계
Real number (ℝ)

Distinct97
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean779.82178
Minimum12
Maximum1450
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:13:11.405713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile37
Q1487
median873
Q31122
95-th percentile1301
Maximum1450
Range1438
Interquartile range (IQR)635

Descriptive statistics

Standard deviation420.68764
Coefficient of variation (CV)0.53946638
Kurtosis-1.0566647
Mean779.82178
Median Absolute Deviation (MAD)322
Skewness-0.42644277
Sum78762
Variance176978.09
MonotonicityNot monotonic
2023-09-29T01:13:12.558534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 3
 
3.0%
1115 2
 
2.0%
1092 2
 
2.0%
565 1
 
1.0%
961 1
 
1.0%
840 1
 
1.0%
987 1
 
1.0%
841 1
 
1.0%
834 1
 
1.0%
649 1
 
1.0%
Other values (87) 87
86.1%
ValueCountFrequency (%)
12 3
3.0%
14 1
 
1.0%
22 1
 
1.0%
37 1
 
1.0%
40 1
 
1.0%
56 1
 
1.0%
60 1
 
1.0%
76 1
 
1.0%
82 1
 
1.0%
92 1
 
1.0%
ValueCountFrequency (%)
1450 1
1.0%
1381 1
1.0%
1379 1
1.0%
1323 1
1.0%
1316 1
1.0%
1301 1
1.0%
1300 1
1.0%
1296 1
1.0%
1286 1
1.0%
1277 1
1.0%

중구 남
Real number (ℝ)

MISSING 

Distinct93
Distinct (%)93.9%
Missing2
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean388.05051
Minimum1
Maximum716
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:13:13.484280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.8
Q1243.5
median433
Q3582
95-th percentile648.4
Maximum716
Range715
Interquartile range (IQR)338.5

Descriptive statistics

Standard deviation214.50162
Coefficient of variation (CV)0.55276728
Kurtosis-1.0622684
Mean388.05051
Median Absolute Deviation (MAD)163
Skewness-0.41914018
Sum38417
Variance46010.946
MonotonicityNot monotonic
2023-09-29T01:13:14.581796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300 2
 
2.0%
551 2
 
2.0%
308 2
 
2.0%
16 2
 
2.0%
561 2
 
2.0%
267 2
 
2.0%
452 1
 
1.0%
398 1
 
1.0%
433 1
 
1.0%
372 1
 
1.0%
Other values (83) 83
82.2%
(Missing) 2
 
2.0%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
5 1
1.0%
8 1
1.0%
9 1
1.0%
11 1
1.0%
16 2
2.0%
18 1
1.0%
23 1
1.0%
37 1
1.0%
ValueCountFrequency (%)
716 1
1.0%
715 1
1.0%
667 1
1.0%
656 1
1.0%
652 1
1.0%
648 1
1.0%
645 1
1.0%
640 1
1.0%
639 1
1.0%
637 1
1.0%

중구 여
Real number (ℝ)

Distinct92
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean399.45545
Minimum10
Maximum735
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:13:16.647900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile28
Q1241
median469
Q3562
95-th percentile665
Maximum735
Range725
Interquartile range (IQR)321

Descriptive statistics

Standard deviation206.05182
Coefficient of variation (CV)0.51583178
Kurtosis-0.98147348
Mean399.45545
Median Absolute Deviation (MAD)160
Skewness-0.40469353
Sum40345
Variance42457.35
MonotonicityNot monotonic
2023-09-29T01:13:17.766585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
651 2
 
2.0%
12 2
 
2.0%
524 2
 
2.0%
554 2
 
2.0%
572 2
 
2.0%
529 2
 
2.0%
485 2
 
2.0%
665 2
 
2.0%
649 2
 
2.0%
287 1
 
1.0%
Other values (82) 82
81.2%
ValueCountFrequency (%)
10 1
1.0%
12 2
2.0%
13 1
1.0%
14 1
1.0%
28 1
1.0%
35 1
1.0%
40 1
1.0%
49 1
1.0%
60 1
1.0%
64 1
1.0%
ValueCountFrequency (%)
735 1
1.0%
723 1
1.0%
710 1
1.0%
689 1
1.0%
672 1
1.0%
665 2
2.0%
664 1
1.0%
651 2
2.0%
649 2
2.0%
640 1
1.0%

동구 계
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3455.703
Minimum17
Maximum6793
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:13:18.907207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile72
Q12302
median3698
Q35248
95-th percentile5893
Maximum6793
Range6776
Interquartile range (IQR)2946

Descriptive statistics

Standard deviation1929.0966
Coefficient of variation (CV)0.55823565
Kurtosis-0.9224502
Mean3455.703
Median Absolute Deviation (MAD)1536
Skewness-0.3996509
Sum349026
Variance3721413.7
MonotonicityNot monotonic
2023-09-29T01:13:19.620543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5730 2
 
2.0%
4013 1
 
1.0%
2559 1
 
1.0%
2584 1
 
1.0%
3098 1
 
1.0%
3473 1
 
1.0%
2994 1
 
1.0%
2801 1
 
1.0%
2302 1
 
1.0%
3260 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
17 1
1.0%
22 1
1.0%
39 1
1.0%
44 1
1.0%
65 1
1.0%
72 1
1.0%
89 1
1.0%
120 1
1.0%
133 1
1.0%
178 1
1.0%
ValueCountFrequency (%)
6793 1
1.0%
6525 1
1.0%
6217 1
1.0%
5942 1
1.0%
5928 1
1.0%
5893 1
1.0%
5863 1
1.0%
5768 1
1.0%
5736 1
1.0%
5730 2
2.0%

동구 남
Real number (ℝ)

Distinct95
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1724.1485
Minimum1
Maximum3263
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:13:20.318894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile17
Q11056
median1864
Q32615
95-th percentile3015
Maximum3263
Range3262
Interquartile range (IQR)1559

Descriptive statistics

Standard deviation1011.2603
Coefficient of variation (CV)0.58652736
Kurtosis-1.0695478
Mean1724.1485
Median Absolute Deviation (MAD)790
Skewness-0.43774575
Sum174139
Variance1022647.3
MonotonicityNot monotonic
2023-09-29T01:13:21.358564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2741 3
 
3.0%
2590 2
 
2.0%
1496 2
 
2.0%
17 2
 
2.0%
2743 2
 
2.0%
1546 1
 
1.0%
1827 1
 
1.0%
1151 1
 
1.0%
1344 1
 
1.0%
1572 1
 
1.0%
Other values (85) 85
84.2%
ValueCountFrequency (%)
1 1
1.0%
5 1
1.0%
10 1
1.0%
12 1
1.0%
14 1
1.0%
17 2
2.0%
18 1
1.0%
31 1
1.0%
32 1
1.0%
51 1
1.0%
ValueCountFrequency (%)
3263 1
1.0%
3057 1
1.0%
3048 1
1.0%
3033 1
1.0%
3024 1
1.0%
3015 1
1.0%
2995 1
1.0%
2976 1
1.0%
2962 1
1.0%
2940 1
1.0%

동구 여
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1731.5545
Minimum16
Maximum3530
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:13:22.061666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile55
Q11252
median1772
Q32554
95-th percentile2970
Maximum3530
Range3514
Interquartile range (IQR)1302

Descriptive statistics

Standard deviation935.6269
Coefficient of variation (CV)0.54033929
Kurtosis-0.76237845
Mean1731.5545
Median Absolute Deviation (MAD)710
Skewness-0.29729605
Sum174887
Variance875397.69
MonotonicityNot monotonic
2023-09-29T01:13:22.863979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1554 2
 
2.0%
1252 2
 
2.0%
1427 1
 
1.0%
1924 1
 
1.0%
1433 1
 
1.0%
1754 1
 
1.0%
1901 1
 
1.0%
1709 1
 
1.0%
1547 1
 
1.0%
1246 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
16 1
1.0%
17 1
1.0%
27 1
1.0%
34 1
1.0%
47 1
1.0%
55 1
1.0%
75 1
1.0%
102 1
1.0%
103 1
1.0%
146 1
1.0%
ValueCountFrequency (%)
3530 1
1.0%
3477 1
1.0%
3222 1
1.0%
3048 1
1.0%
2980 1
1.0%
2970 1
1.0%
2935 1
1.0%
2934 1
1.0%
2924 1
1.0%
2923 1
1.0%

서구 계
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2075.3069
Minimum9
Maximum4653
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:13:23.491832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile37
Q11137
median2338
Q33022
95-th percentile4001
Maximum4653
Range4644
Interquartile range (IQR)1885

Descriptive statistics

Standard deviation1294.0632
Coefficient of variation (CV)0.6235527
Kurtosis-1.0464565
Mean2075.3069
Median Absolute Deviation (MAD)1016
Skewness-0.057711794
Sum209606
Variance1674599.7
MonotonicityNot monotonic
2023-09-29T01:13:24.250342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1137 2
 
2.0%
1374 2
 
2.0%
2338 1
 
1.0%
1516 1
 
1.0%
1468 1
 
1.0%
1881 1
 
1.0%
2200 1
 
1.0%
1784 1
 
1.0%
1756 1
 
1.0%
2028 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
9 1
1.0%
14 1
1.0%
23 1
1.0%
25 1
1.0%
27 1
1.0%
37 1
1.0%
54 1
1.0%
82 1
1.0%
84 1
1.0%
111 1
1.0%
ValueCountFrequency (%)
4653 1
1.0%
4609 1
1.0%
4400 1
1.0%
4383 1
1.0%
4038 1
1.0%
4001 1
1.0%
3866 1
1.0%
3770 1
1.0%
3763 1
1.0%
3757 1
1.0%

서구 남
Real number (ℝ)

Distinct96
Distinct (%)96.0%
Missing1
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean1060.74
Minimum1
Maximum2272
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:13:24.988335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.75
Q1559.25
median1121
Q31640.75
95-th percentile2004.8
Maximum2272
Range2271
Interquartile range (IQR)1081.5

Descriptive statistics

Standard deviation682.59632
Coefficient of variation (CV)0.64350955
Kurtosis-1.2636041
Mean1060.74
Median Absolute Deviation (MAD)537
Skewness-0.14956573
Sum106074
Variance465937.73
MonotonicityNot monotonic
2023-09-29T01:13:25.794024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1913 2
 
2.0%
4 2
 
2.0%
1631 2
 
2.0%
639 2
 
2.0%
597 1
 
1.0%
1151 1
 
1.0%
1006 1
 
1.0%
749 1
 
1.0%
801 1
 
1.0%
651 1
 
1.0%
Other values (86) 86
85.1%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
4 2
2.0%
6 1
1.0%
11 1
1.0%
13 1
1.0%
16 1
1.0%
22 1
1.0%
24 1
1.0%
32 1
1.0%
ValueCountFrequency (%)
2272 1
1.0%
2233 1
1.0%
2205 1
1.0%
2180 1
1.0%
2039 1
1.0%
2003 1
1.0%
1923 1
1.0%
1913 2
2.0%
1897 1
1.0%
1885 1
1.0%

서구 여
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1025.0693
Minimum8
Maximum2381
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:13:27.030666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile31
Q1590
median1109
Q31403
95-th percentile2011
Maximum2381
Range2373
Interquartile range (IQR)813

Descriptive statistics

Standard deviation619.50729
Coefficient of variation (CV)0.60435649
Kurtosis-0.7396191
Mean1025.0693
Median Absolute Deviation (MAD)460
Skewness0.092760687
Sum103532
Variance383789.29
MonotonicityNot monotonic
2023-09-29T01:13:28.265565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1791 2
 
2.0%
23 2
 
2.0%
1321 2
 
2.0%
540 1
 
1.0%
1187 1
 
1.0%
841 1
 
1.0%
1056 1
 
1.0%
1194 1
 
1.0%
1035 1
 
1.0%
955 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
8 1
1.0%
14 1
1.0%
19 1
1.0%
23 2
2.0%
31 1
1.0%
43 1
1.0%
58 1
1.0%
71 1
1.0%
95 1
1.0%
110 1
1.0%
ValueCountFrequency (%)
2381 1
1.0%
2376 1
1.0%
2203 1
1.0%
2195 1
1.0%
2035 1
1.0%
2011 1
1.0%
1966 1
1.0%
1962 1
1.0%
1939 1
1.0%
1878 1
1.0%

남구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1614.6139
Minimum8
Maximum3250
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:13:29.019429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile45
Q1953
median1876
Q32409
95-th percentile2878
Maximum3250
Range3242
Interquartile range (IQR)1456

Descriptive statistics

Standard deviation913.32491
Coefficient of variation (CV)0.56566151
Kurtosis-1.0693633
Mean1614.6139
Median Absolute Deviation (MAD)728
Skewness-0.3036803
Sum163076
Variance834162.4
MonotonicityNot monotonic
2023-09-29T01:13:30.207191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
953 1
 
1.0%
1908 1
 
1.0%
1489 1
 
1.0%
1697 1
 
1.0%
1897 1
 
1.0%
1556 1
 
1.0%
1464 1
 
1.0%
1246 1
 
1.0%
1732 1
 
1.0%
1995 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
8 1
1.0%
11 1
1.0%
21 1
1.0%
24 1
1.0%
40 1
1.0%
45 1
1.0%
52 1
1.0%
57 1
1.0%
109 1
1.0%
114 1
1.0%
ValueCountFrequency (%)
3250 1
1.0%
3196 1
1.0%
2975 1
1.0%
2907 1
1.0%
2897 1
1.0%
2878 1
1.0%
2784 1
1.0%
2739 1
1.0%
2685 1
1.0%
2643 1
1.0%

남구 남
Real number (ℝ)

Distinct96
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean787.16832
Minimum1
Maximum1484
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:13:31.028804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q1476
median874
Q31209
95-th percentile1343
Maximum1484
Range1483
Interquartile range (IQR)733

Descriptive statistics

Standard deviation466.43283
Coefficient of variation (CV)0.59254522
Kurtosis-1.2200135
Mean787.16832
Median Absolute Deviation (MAD)379
Skewness-0.3360898
Sum79504
Variance217559.58
MonotonicityNot monotonic
2023-09-29T01:13:32.454077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
559 2
 
2.0%
1177 2
 
2.0%
508 2
 
2.0%
4 2
 
2.0%
1261 2
 
2.0%
476 1
 
1.0%
874 1
 
1.0%
580 1
 
1.0%
598 1
 
1.0%
752 1
 
1.0%
Other values (86) 86
85.1%
ValueCountFrequency (%)
1 1
1.0%
3 1
1.0%
4 2
2.0%
7 1
1.0%
8 1
1.0%
13 1
1.0%
16 1
1.0%
23 1
1.0%
29 1
1.0%
31 1
1.0%
ValueCountFrequency (%)
1484 1
1.0%
1464 1
1.0%
1438 1
1.0%
1401 1
1.0%
1396 1
1.0%
1343 1
1.0%
1338 1
1.0%
1336 1
1.0%
1335 1
1.0%
1331 1
1.0%

남구 여
Real number (ℝ)

Distinct97
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean827.44554
Minimum7
Maximum1766
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:13:33.400962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile36
Q1458
median913
Q31208
95-th percentile1496
Maximum1766
Range1759
Interquartile range (IQR)750

Descriptive statistics

Standard deviation456.74574
Coefficient of variation (CV)0.55199492
Kurtosis-0.89456384
Mean827.44554
Median Absolute Deviation (MAD)363
Skewness-0.21246164
Sum83572
Variance208616.67
MonotonicityNot monotonic
2023-09-29T01:13:34.251043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
978 2
 
2.0%
1017 2
 
2.0%
891 2
 
2.0%
435 2
 
2.0%
477 1
 
1.0%
1209 1
 
1.0%
807 1
 
1.0%
945 1
 
1.0%
1053 1
 
1.0%
821 1
 
1.0%
Other values (87) 87
86.1%
ValueCountFrequency (%)
7 1
1.0%
8 1
1.0%
16 1
1.0%
17 1
1.0%
33 1
1.0%
36 1
1.0%
41 1
1.0%
44 1
1.0%
83 1
1.0%
86 1
1.0%
ValueCountFrequency (%)
1766 1
1.0%
1732 1
1.0%
1543 1
1.0%
1537 1
1.0%
1511 1
1.0%
1496 1
1.0%
1482 1
1.0%
1445 1
1.0%
1415 1
1.0%
1379 1
1.0%

북구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4391.1089
Minimum11
Maximum8870
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:13:35.068087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile62
Q12104
median4618
Q36634
95-th percentile8351
Maximum8870
Range8859
Interquartile range (IQR)4530

Descriptive statistics

Standard deviation2691.9194
Coefficient of variation (CV)0.61303862
Kurtosis-1.110263
Mean4391.1089
Median Absolute Deviation (MAD)2113
Skewness-0.21960645
Sum443502
Variance7246429.8
MonotonicityNot monotonic
2023-09-29T01:13:36.152236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3644 1
 
1.0%
3484 1
 
1.0%
2398 1
 
1.0%
2858 1
 
1.0%
3300 1
 
1.0%
2585 1
 
1.0%
2654 1
 
1.0%
2093 1
 
1.0%
2898 1
 
1.0%
3507 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
11 1
1.0%
14 1
1.0%
21 1
1.0%
33 1
1.0%
53 1
1.0%
62 1
1.0%
88 1
1.0%
108 1
1.0%
147 1
1.0%
159 1
1.0%
ValueCountFrequency (%)
8870 1
1.0%
8756 1
1.0%
8678 1
1.0%
8626 1
1.0%
8523 1
1.0%
8351 1
1.0%
8192 1
1.0%
8104 1
1.0%
7987 1
1.0%
7927 1
1.0%

북구 남
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2198.5149
Minimum1
Maximum4488
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:13:37.076137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15
Q1968
median2403
Q33379
95-th percentile4102
Maximum4488
Range4487
Interquartile range (IQR)2411

Descriptive statistics

Standard deviation1411.2082
Coefficient of variation (CV)0.6418916
Kurtosis-1.2515703
Mean2198.5149
Median Absolute Deviation (MAD)1132
Skewness-0.26005173
Sum222050
Variance1991508.6
MonotonicityNot monotonic
2023-09-29T01:13:37.629673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
968 2
 
2.0%
1897 1
 
1.0%
1643 1
 
1.0%
1016 1
 
1.0%
1259 1
 
1.0%
1509 1
 
1.0%
1074 1
 
1.0%
1108 1
 
1.0%
1347 1
 
1.0%
1604 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
4 1
1.0%
5 1
1.0%
8 1
1.0%
15 1
1.0%
17 1
1.0%
19 1
1.0%
29 1
1.0%
31 1
1.0%
ValueCountFrequency (%)
4488 1
1.0%
4360 1
1.0%
4359 1
1.0%
4299 1
1.0%
4160 1
1.0%
4102 1
1.0%
4064 1
1.0%
4051 1
1.0%
4035 1
1.0%
3991 1
1.0%

북구 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2192.5941
Minimum10
Maximum4397
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:13:38.472589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile49
Q11221
median2186
Q33128
95-th percentile4316
Maximum4397
Range4387
Interquartile range (IQR)1907

Descriptive statistics

Standard deviation1293.191
Coefficient of variation (CV)0.58979957
Kurtosis-0.94369519
Mean2192.5941
Median Absolute Deviation (MAD)965
Skewness-0.15215718
Sum221452
Variance1672343
MonotonicityNot monotonic
2023-09-29T01:13:39.077102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2186 2
 
2.0%
1747 1
 
1.0%
1918 1
 
1.0%
1418 1
 
1.0%
1430 1
 
1.0%
1599 1
 
1.0%
1791 1
 
1.0%
1511 1
 
1.0%
1546 1
 
1.0%
1125 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
10 1
1.0%
12 1
1.0%
13 1
1.0%
28 1
1.0%
47 1
1.0%
49 1
1.0%
69 1
1.0%
91 1
1.0%
118 1
1.0%
128 1
1.0%
ValueCountFrequency (%)
4397 1
1.0%
4382 1
1.0%
4363 1
1.0%
4327 1
1.0%
4318 1
1.0%
4316 1
1.0%
4110 1
1.0%
4090 1
1.0%
4053 1
1.0%
3937 1
1.0%

수성구 계
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4496.4653
Minimum14
Maximum9763
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:13:40.104150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile69
Q12307
median4517
Q36708
95-th percentile8586
Maximum9763
Range9749
Interquartile range (IQR)4401

Descriptive statistics

Standard deviation2811.1829
Coefficient of variation (CV)0.62519839
Kurtosis-1.0589968
Mean4496.4653
Median Absolute Deviation (MAD)2210
Skewness-0.017378965
Sum454143
Variance7902749.2
MonotonicityNot monotonic
2023-09-29T01:13:40.872826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
69 2
 
2.0%
5500 2
 
2.0%
2534 1
 
1.0%
3761 1
 
1.0%
2923 1
 
1.0%
3432 1
 
1.0%
2959 1
 
1.0%
2734 1
 
1.0%
2256 1
 
1.0%
3136 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
14 1
1.0%
26 1
1.0%
39 1
1.0%
42 1
1.0%
69 2
2.0%
77 1
1.0%
172 1
1.0%
184 1
1.0%
217 1
1.0%
272 1
1.0%
ValueCountFrequency (%)
9763 1
1.0%
9585 1
1.0%
9523 1
1.0%
9268 1
1.0%
9184 1
1.0%
8586 1
1.0%
8375 1
1.0%
8366 1
1.0%
8342 1
1.0%
8270 1
1.0%

수성구 남
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2200.5446
Minimum3
Maximum4668
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:13:41.601142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile17
Q11052
median2321
Q33444
95-th percentile4199
Maximum4668
Range4665
Interquartile range (IQR)2392

Descriptive statistics

Standard deviation1436.6155
Coefficient of variation (CV)0.65284546
Kurtosis-1.2141303
Mean2200.5446
Median Absolute Deviation (MAD)1264
Skewness-0.063021111
Sum222255
Variance2063864.2
MonotonicityNot monotonic
2023-09-29T01:13:42.314048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2596 2
 
2.0%
1746 2
 
2.0%
4194 2
 
2.0%
1287 1
 
1.0%
1697 1
 
1.0%
1057 1
 
1.0%
1096 1
 
1.0%
1247 1
 
1.0%
1533 1
 
1.0%
1305 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
3 1
1.0%
4 1
1.0%
10 1
1.0%
11 1
1.0%
15 1
1.0%
17 1
1.0%
18 1
1.0%
30 1
1.0%
43 1
1.0%
48 1
1.0%
ValueCountFrequency (%)
4668 1
1.0%
4420 1
1.0%
4379 1
1.0%
4360 1
1.0%
4282 1
1.0%
4199 1
1.0%
4194 2
2.0%
4193 1
1.0%
4162 1
1.0%
4122 1
1.0%

수성구 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2295.9208
Minimum11
Maximum5206
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:13:43.143358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile54
Q11287
median2172
Q33325
95-th percentile4775
Maximum5206
Range5195
Interquartile range (IQR)2038

Descriptive statistics

Standard deviation1404.5791
Coefficient of variation (CV)0.61177158
Kurtosis-0.76237258
Mean2295.9208
Median Absolute Deviation (MAD)968
Skewness0.12997493
Sum231888
Variance1972842.5
MonotonicityNot monotonic
2023-09-29T01:13:44.032637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2594 2
 
2.0%
1247 1
 
1.0%
2039 1
 
1.0%
1467 1
 
1.0%
1465 1
 
1.0%
1676 1
 
1.0%
1899 1
 
1.0%
1654 1
 
1.0%
1523 1
 
1.0%
1204 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
11 1
1.0%
22 1
1.0%
29 1
1.0%
31 1
1.0%
51 1
1.0%
54 1
1.0%
60 1
1.0%
141 1
1.0%
142 1
1.0%
169 1
1.0%
ValueCountFrequency (%)
5206 1
1.0%
5103 1
1.0%
5095 1
1.0%
5075 1
1.0%
4824 1
1.0%
4775 1
1.0%
4660 1
1.0%
4287 1
1.0%
4252 1
1.0%
4208 1
1.0%

달서구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6018.9109
Minimum14
Maximum12082
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:13:45.033254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile63
Q12544
median6210
Q39223
95-th percentile11433
Maximum12082
Range12068
Interquartile range (IQR)6679

Descriptive statistics

Standard deviation3816.509
Coefficient of variation (CV)0.63408631
Kurtosis-1.2557661
Mean6018.9109
Median Absolute Deviation (MAD)3168
Skewness-0.18733829
Sum607910
Variance14565741
MonotonicityNot monotonic
2023-09-29T01:13:45.885642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4992 1
 
1.0%
4793 1
 
1.0%
2712 1
 
1.0%
3346 1
 
1.0%
3785 1
 
1.0%
3049 1
 
1.0%
3114 1
 
1.0%
2544 1
 
1.0%
3797 1
 
1.0%
4433 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
14 1
1.0%
18 1
1.0%
26 1
1.0%
44 1
1.0%
55 1
1.0%
63 1
1.0%
72 1
1.0%
133 1
1.0%
183 1
1.0%
195 1
1.0%
ValueCountFrequency (%)
12082 1
1.0%
12080 1
1.0%
11757 1
1.0%
11595 1
1.0%
11510 1
1.0%
11433 1
1.0%
11327 1
1.0%
11309 1
1.0%
11264 1
1.0%
11224 1
1.0%

달서구 남
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2994.5545
Minimum2
Maximum5884
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:13:46.885003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile10
Q11093
median3200
Q34683
95-th percentile5485
Maximum5884
Range5882
Interquartile range (IQR)3590

Descriptive statistics

Standard deviation1965.3897
Coefficient of variation (CV)0.65632125
Kurtosis-1.3764823
Mean2994.5545
Median Absolute Deviation (MAD)1799
Skewness-0.26057759
Sum302450
Variance3862756.8
MonotonicityNot monotonic
2023-09-29T01:13:47.759869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 2
 
2.0%
2547 1
 
1.0%
2707 1
 
1.0%
1401 1
 
1.0%
1683 1
 
1.0%
1314 1
 
1.0%
1398 1
 
1.0%
1208 1
 
1.0%
1851 1
 
1.0%
2110 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
2 1
1.0%
3 1
1.0%
5 1
1.0%
6 1
1.0%
10 2
2.0%
14 1
1.0%
25 1
1.0%
48 1
1.0%
54 1
1.0%
64 1
1.0%
ValueCountFrequency (%)
5884 1
1.0%
5748 1
1.0%
5732 1
1.0%
5697 1
1.0%
5592 1
1.0%
5485 1
1.0%
5480 1
1.0%
5473 1
1.0%
5435 1
1.0%
5394 1
1.0%

달서구 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3024.3564
Minimum12
Maximum6348
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:13:49.418500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile53
Q11547
median2972
Q34440
95-th percentile5943
Maximum6348
Range6336
Interquartile range (IQR)2893

Descriptive statistics

Standard deviation1872.3195
Coefficient of variation (CV)0.61908031
Kurtosis-1.0673224
Mean3024.3564
Median Absolute Deviation (MAD)1468
Skewness-0.062240847
Sum305460
Variance3505580.4
MonotonicityNot monotonic
2023-09-29T01:13:50.783159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4486 2
 
2.0%
2445 1
 
1.0%
1417 1
 
1.0%
1640 1
 
1.0%
1602 1
 
1.0%
1945 1
 
1.0%
2102 1
 
1.0%
1735 1
 
1.0%
1716 1
 
1.0%
1336 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
12 1
1.0%
15 1
1.0%
21 1
1.0%
38 1
1.0%
41 1
1.0%
53 1
1.0%
62 1
1.0%
108 1
1.0%
135 1
1.0%
141 1
1.0%
ValueCountFrequency (%)
6348 1
1.0%
6198 1
1.0%
6165 1
1.0%
6037 1
1.0%
5947 1
1.0%
5943 1
1.0%
5915 1
1.0%
5847 1
1.0%
5744 1
1.0%
5736 1
1.0%

달성군 계
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1840.3168
Minimum8
Maximum3515
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:13:52.320816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile29
Q1970
median1990
Q32663
95-th percentile3348
Maximum3515
Range3507
Interquartile range (IQR)1693

Descriptive statistics

Standard deviation1092.1395
Coefficient of variation (CV)0.59345188
Kurtosis-1.0759092
Mean1840.3168
Median Absolute Deviation (MAD)917
Skewness-0.26100797
Sum185872
Variance1192768.7
MonotonicityNot monotonic
2023-09-29T01:13:53.554489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2008 2
 
2.0%
875 1
 
1.0%
1026 1
 
1.0%
1054 1
 
1.0%
1199 1
 
1.0%
1354 1
 
1.0%
1091 1
 
1.0%
1073 1
 
1.0%
918 1
 
1.0%
1135 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
8 1
1.0%
10 1
1.0%
11 1
1.0%
17 1
1.0%
20 1
1.0%
29 1
1.0%
37 1
1.0%
45 1
1.0%
77 1
1.0%
92 1
1.0%
ValueCountFrequency (%)
3515 1
1.0%
3504 1
1.0%
3464 1
1.0%
3403 1
1.0%
3379 1
1.0%
3348 1
1.0%
3346 1
1.0%
3330 1
1.0%
3326 1
1.0%
3307 1
1.0%

달성군 남
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean940.9901
Minimum1
Maximum1864
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:13:54.888712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q1385
median1055
Q31427
95-th percentile1759
Maximum1864
Range1863
Interquartile range (IQR)1042

Descriptive statistics

Standard deviation595.0256
Coefficient of variation (CV)0.63233992
Kurtosis-1.2335125
Mean940.9901
Median Absolute Deviation (MAD)504
Skewness-0.27744825
Sum95040
Variance354055.47
MonotonicityNot monotonic
2023-09-29T01:13:56.178055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1097 2
 
2.0%
4 2
 
2.0%
992 2
 
2.0%
923 1
 
1.0%
794 1
 
1.0%
395 1
 
1.0%
492 1
 
1.0%
587 1
 
1.0%
462 1
 
1.0%
507 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
1 1
1.0%
3 1
1.0%
4 2
2.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
12 1
1.0%
18 1
1.0%
21 1
1.0%
25 1
1.0%
ValueCountFrequency (%)
1864 1
1.0%
1811 1
1.0%
1803 1
1.0%
1789 1
1.0%
1771 1
1.0%
1759 1
1.0%
1729 1
1.0%
1726 1
1.0%
1725 1
1.0%
1693 1
1.0%

달성군 여
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean899.32673
Minimum4
Maximum1704
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:13:57.201980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile24
Q1566
median911
Q31243
95-th percentile1634
Maximum1704
Range1700
Interquartile range (IQR)677

Descriptive statistics

Standard deviation504.05355
Coefficient of variation (CV)0.56047878
Kurtosis-0.88379414
Mean899.32673
Median Absolute Deviation (MAD)345
Skewness-0.22885566
Sum90832
Variance254069.98
MonotonicityNot monotonic
2023-09-29T01:13:59.083797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
902 2
 
2.0%
1081 2
 
2.0%
801 1
 
1.0%
665 1
 
1.0%
659 1
 
1.0%
707 1
 
1.0%
767 1
 
1.0%
629 1
 
1.0%
566 1
 
1.0%
455 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
4 1
1.0%
8 1
1.0%
9 1
1.0%
13 1
1.0%
14 1
1.0%
24 1
1.0%
30 1
1.0%
33 1
1.0%
56 1
1.0%
74 1
1.0%
ValueCountFrequency (%)
1704 1
1.0%
1675 1
1.0%
1653 1
1.0%
1640 1
1.0%
1637 1
1.0%
1634 1
1.0%
1620 1
1.0%
1617 1
1.0%
1604 1
1.0%
1600 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
00세1862356527828729731546142711375975409534764773644189717472534128712474992254724451825923902
11세19313541300241303214941538131866964910815645173874194819262709142212874986253124551772887885
22세2149360431828633801724165613796976821034528506424321972046317516351540552728112716215111171034
33세2127455728926832851731155412366066301039559480421822172001332116551666545627872669216210971065
44세216455953002953269171015591328686642927480447429022392051347717591718561828772741214110961045
55세2001548727521230141573144110555205358544464083894202718673532185116815264274525191915968947
66세20978504251253291114961415113756357493049743341372107203040102154185654052843256219441016928
77세229695513082433091153715541237622615101250850445562403215346792370230958402995284520031023980
88세2110748224224026961417127911535516029575214364228220520234443232121225347276625811801927874
99세2091244424519926201368125211105935179435084354142213320094517243820795343271326301793964829
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
9191세11175616401783214611116951092386159311282174816919554141921874
9292세982601149133311028413711143183147291181844314118348135772156
9393세724405351201710354114352163610817911723014213325108451233
9494세46537928721755376314544188196977176072106237730
9595세3602281465184727423407335344969185155144129524
9696세23612<NA>124410342341924816335283910294463817413
9797세19214113391227252232141714212421131265211138
9898세13412<NA>122251714<NA>1411382181326422183151019
9999세931221017116918817111101431114212844
100100세 이상51876166089147582245857134462154769155463105320614