Overview

Dataset statistics

Number of variables28
Number of observations101
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory24.9 KiB
Average record size in memory252.3 B

Variable types

Text1
Numeric27

Dataset

Description2017.3.31.기준 주민등록인구현황
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3077757&dataSetDetailId=30777571822d300dedb3&provdMethod=FILE

Alerts

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

Reproduction

Analysis started2023-09-29 01:21:33.657309
Analysis finished2023-09-29 01:21:34.353827
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Text

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
2023-09-29T01:21:35.074218image/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%
2023-09-29T01:21:36.694562image/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%
Mean24588.99
Minimum118
Maximum47139
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:21:37.890806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum118
5-th percentile598
Q114222
median25391
Q335785
95-th percentile44658
Maximum47139
Range47021
Interquartile range (IQR)21563

Descriptive statistics

Standard deviation14145.994
Coefficient of variation (CV)0.57529787
Kurtosis-1.0072857
Mean24588.99
Median Absolute Deviation (MAD)10665
Skewness-0.28097214
Sum2483488
Variance2.0010913 × 108
MonotonicityNot monotonic
2023-09-29T01:21:38.598434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17034 1
 
1.0%
29547 1
 
1.0%
19692 1
 
1.0%
16260 1
 
1.0%
15948 1
 
1.0%
13003 1
 
1.0%
18460 1
 
1.0%
21751 1
 
1.0%
23326 1
 
1.0%
22957 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
118 1
1.0%
138 1
1.0%
223 1
1.0%
287 1
1.0%
466 1
1.0%
598 1
1.0%
643 1
1.0%
766 1
1.0%
989 1
1.0%
1277 1
1.0%
ValueCountFrequency (%)
47139 1
1.0%
47053 1
1.0%
45845 1
1.0%
45580 1
1.0%
45136 1
1.0%
44658 1
1.0%
44655 1
1.0%
44554 1
1.0%
44463 1
1.0%
43663 1
1.0%

총계 남
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12207.713
Minimum26
Maximum23225
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:21:40.024862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26
5-th percentile133
Q15925
median12838
Q318639
95-th percentile22058
Maximum23225
Range23199
Interquartile range (IQR)12714

Descriptive statistics

Standard deviation7365.3529
Coefficient of variation (CV)0.60333602
Kurtosis-1.1620153
Mean12207.713
Median Absolute Deviation (MAD)5861
Skewness-0.33776428
Sum1232979
Variance54248423
MonotonicityNot monotonic
2023-09-29T01:21:41.307038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8694 1
 
1.0%
13755 1
 
1.0%
8697 1
 
1.0%
6857 1
 
1.0%
6946 1
 
1.0%
5925 1
 
1.0%
8391 1
 
1.0%
9980 1
 
1.0%
10675 1
 
1.0%
10881 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
26 1
1.0%
29 1
1.0%
40 1
1.0%
54 1
1.0%
84 1
1.0%
133 1
1.0%
142 1
1.0%
161 1
1.0%
220 1
1.0%
281 1
1.0%
ValueCountFrequency (%)
23225 1
1.0%
22985 1
1.0%
22509 1
1.0%
22406 1
1.0%
22202 1
1.0%
22058 1
1.0%
22053 1
1.0%
21844 1
1.0%
21585 1
1.0%
21438 1
1.0%

총계 여
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12381.277
Minimum92
Maximum24154
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:21:42.681084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum92
5-th percentile465
Q18422
median12646
Q317708
95-th percentile22934
Maximum24154
Range24062
Interquartile range (IQR)9286

Descriptive statistics

Standard deviation6864.9045
Coefficient of variation (CV)0.55445851
Kurtosis-0.83791266
Mean12381.277
Median Absolute Deviation (MAD)5044
Skewness-0.19239913
Sum1250509
Variance47126914
MonotonicityNot monotonic
2023-09-29T01:21:43.468632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8340 1
 
1.0%
15792 1
 
1.0%
10995 1
 
1.0%
9403 1
 
1.0%
9002 1
 
1.0%
7078 1
 
1.0%
10069 1
 
1.0%
11771 1
 
1.0%
12651 1
 
1.0%
12076 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
92 1
1.0%
109 1
1.0%
183 1
1.0%
233 1
1.0%
382 1
1.0%
465 1
1.0%
501 1
1.0%
605 1
1.0%
769 1
1.0%
996 1
1.0%
ValueCountFrequency (%)
24154 1
1.0%
23828 1
1.0%
23439 1
1.0%
23071 1
1.0%
23025 1
1.0%
22934 1
1.0%
22811 1
1.0%
22605 1
1.0%
22496 1
1.0%
22163 1
1.0%

중구 계
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean785.56436
Minimum5
Maximum1404
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:21:44.272107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile35
Q1490
median851
Q31165
95-th percentile1293
Maximum1404
Range1399
Interquartile range (IQR)675

Descriptive statistics

Standard deviation416.18555
Coefficient of variation (CV)0.52979179
Kurtosis-1.056214
Mean785.56436
Median Absolute Deviation (MAD)334
Skewness-0.44049062
Sum79342
Variance173210.41
MonotonicityNot monotonic
2023-09-29T01:21:45.066882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
792 2
 
2.0%
570 2
 
2.0%
1224 2
 
2.0%
618 1
 
1.0%
945 1
 
1.0%
948 1
 
1.0%
804 1
 
1.0%
635 1
 
1.0%
851 1
 
1.0%
972 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
5 1
1.0%
11 1
1.0%
12 1
1.0%
26 1
1.0%
29 1
1.0%
35 1
1.0%
44 1
1.0%
58 1
1.0%
64 1
1.0%
87 1
1.0%
ValueCountFrequency (%)
1404 1
1.0%
1375 1
1.0%
1322 1
1.0%
1307 1
1.0%
1304 1
1.0%
1293 1
1.0%
1280 1
1.0%
1279 1
1.0%
1270 1
1.0%
1262 1
1.0%

중구 남
Real number (ℝ)

Distinct96
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean381.65347
Minimum0
Maximum695
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:21:45.822154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q1237
median411
Q3582
95-th percentile649
Maximum695
Range695
Interquartile range (IQR)345

Descriptive statistics

Standard deviation216.51727
Coefficient of variation (CV)0.56731378
Kurtosis-1.1162176
Mean381.65347
Median Absolute Deviation (MAD)174
Skewness-0.37841807
Sum38547
Variance46879.729
MonotonicityNot monotonic
2023-09-29T01:21:46.798440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
612 2
 
2.0%
643 2
 
2.0%
237 2
 
2.0%
11 2
 
2.0%
42 2
 
2.0%
321 1
 
1.0%
464 1
 
1.0%
331 1
 
1.0%
259 1
 
1.0%
370 1
 
1.0%
Other values (86) 86
85.1%
ValueCountFrequency (%)
0 1
1.0%
2 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
8 1
1.0%
11 2
2.0%
15 1
1.0%
16 1
1.0%
21 1
1.0%
ValueCountFrequency (%)
695 1
1.0%
690 1
1.0%
672 1
1.0%
659 1
1.0%
650 1
1.0%
649 1
1.0%
643 2
2.0%
641 1
1.0%
633 1
1.0%
624 1
1.0%

중구 여
Real number (ℝ)

Distinct94
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean403.91089
Minimum5
Maximum725
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:21:47.542412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile29
Q1247
median461
Q3580
95-th percentile656
Maximum725
Range720
Interquartile range (IQR)333

Descriptive statistics

Standard deviation204.04647
Coefficient of variation (CV)0.50517695
Kurtosis-0.9975914
Mean403.91089
Median Absolute Deviation (MAD)164
Skewness-0.45241393
Sum40795
Variance41634.962
MonotonicityNot monotonic
2023-09-29T01:21:48.159872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
627 4
 
4.0%
297 2
 
2.0%
590 2
 
2.0%
549 2
 
2.0%
247 2
 
2.0%
640 1
 
1.0%
628 1
 
1.0%
424 1
 
1.0%
714 1
 
1.0%
527 1
 
1.0%
Other values (84) 84
83.2%
ValueCountFrequency (%)
5 1
1.0%
7 1
1.0%
9 1
1.0%
21 1
1.0%
22 1
1.0%
29 1
1.0%
33 1
1.0%
47 1
1.0%
49 1
1.0%
71 1
1.0%
ValueCountFrequency (%)
725 1
1.0%
714 1
1.0%
680 1
1.0%
676 1
1.0%
666 1
1.0%
656 1
1.0%
650 1
1.0%
640 1
1.0%
629 1
1.0%
628 1
1.0%

동구 계
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3478.9208
Minimum23
Maximum6820
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:21:48.745377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23
5-th percentile86
Q12464
median3680
Q35192
95-th percentile5853
Maximum6820
Range6797
Interquartile range (IQR)2728

Descriptive statistics

Standard deviation1898.3453
Coefficient of variation (CV)0.54567073
Kurtosis-0.87219495
Mean3478.9208
Median Absolute Deviation (MAD)1472
Skewness-0.40470617
Sum351371
Variance3603714.7
MonotonicityNot monotonic
2023-09-29T01:21:49.434592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2908 2
 
2.0%
2605 1
 
1.0%
4787 1
 
1.0%
2950 1
 
1.0%
3345 1
 
1.0%
2731 1
 
1.0%
2276 1
 
1.0%
3186 1
 
1.0%
3739 1
 
1.0%
3966 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
23 1
1.0%
28 1
1.0%
36 1
1.0%
41 1
1.0%
75 1
1.0%
86 1
1.0%
103 1
1.0%
129 1
1.0%
169 1
1.0%
194 1
1.0%
ValueCountFrequency (%)
6820 1
1.0%
6511 1
1.0%
6243 1
1.0%
5948 1
1.0%
5873 1
1.0%
5853 1
1.0%
5831 1
1.0%
5822 1
1.0%
5800 1
1.0%
5699 1
1.0%

동구 남
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1727.4653
Minimum7
Maximum3251
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:21:50.564881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile19
Q11064
median1842
Q32604
95-th percentile2968
Maximum3251
Range3244
Interquartile range (IQR)1540

Descriptive statistics

Standard deviation990.4894
Coefficient of variation (CV)0.57337729
Kurtosis-1.028422
Mean1727.4653
Median Absolute Deviation (MAD)778
Skewness-0.44889888
Sum174474
Variance981069.25
MonotonicityNot monotonic
2023-09-29T01:21:51.787588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2604 2
 
2.0%
2504 2
 
2.0%
1527 2
 
2.0%
9 1
 
1.0%
2005 1
 
1.0%
1497 1
 
1.0%
1214 1
 
1.0%
1204 1
 
1.0%
1022 1
 
1.0%
1427 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
7 1
1.0%
9 1
1.0%
10 1
1.0%
11 1
1.0%
12 1
1.0%
19 1
1.0%
20 1
1.0%
22 1
1.0%
37 1
1.0%
39 1
1.0%
ValueCountFrequency (%)
3251 1
1.0%
3022 1
1.0%
3003 1
1.0%
2998 1
1.0%
2991 1
1.0%
2968 1
1.0%
2960 1
1.0%
2938 1
1.0%
2929 1
1.0%
2920 1
1.0%

동구 여
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1751.4554
Minimum14
Maximum3569
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:21:52.770760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile64
Q11254
median1796
Q32504
95-th percentile2989
Maximum3569
Range3555
Interquartile range (IQR)1250

Descriptive statistics

Standard deviation925.81087
Coefficient of variation (CV)0.52859516
Kurtosis-0.70095532
Mean1751.4554
Median Absolute Deviation (MAD)609
Skewness-0.29629617
Sum176897
Variance857125.77
MonotonicityNot monotonic
2023-09-29T01:21:53.454963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300 2
 
2.0%
2890 2
 
2.0%
1316 1
 
1.0%
1694 1
 
1.0%
1527 1
 
1.0%
1254 1
 
1.0%
1759 1
 
1.0%
1977 1
 
1.0%
2153 1
 
1.0%
2102 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
14 1
1.0%
21 1
1.0%
26 1
1.0%
30 1
1.0%
63 1
1.0%
64 1
1.0%
84 1
1.0%
109 1
1.0%
130 1
1.0%
157 1
1.0%
ValueCountFrequency (%)
3569 1
1.0%
3489 1
1.0%
3252 1
1.0%
3078 1
1.0%
2995 1
1.0%
2989 1
1.0%
2944 1
1.0%
2943 1
1.0%
2933 1
1.0%
2920 1
1.0%

서구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1959.297
Minimum13
Maximum4484
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:21:54.029151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile50
Q11070
median2084
Q32840
95-th percentile3839
Maximum4484
Range4471
Interquartile range (IQR)1770

Descriptive statistics

Standard deviation1219.0646
Coefficient of variation (CV)0.62219489
Kurtosis-0.93632879
Mean1959.297
Median Absolute Deviation (MAD)954
Skewness0.047930898
Sum197889
Variance1486118.5
MonotonicityNot monotonic
2023-09-29T01:21:54.454966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
951 1
 
1.0%
3205 1
 
1.0%
2078 1
 
1.0%
1680 1
 
1.0%
1672 1
 
1.0%
1299 1
 
1.0%
1934 1
 
1.0%
2278 1
 
1.0%
2519 1
 
1.0%
2467 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
13 1
1.0%
16 1
1.0%
17 1
1.0%
22 1
1.0%
36 1
1.0%
50 1
1.0%
80 1
1.0%
88 1
1.0%
92 1
1.0%
99 1
1.0%
ValueCountFrequency (%)
4484 1
1.0%
4467 1
1.0%
4260 1
1.0%
4231 1
1.0%
3933 1
1.0%
3839 1
1.0%
3653 1
1.0%
3643 1
1.0%
3621 1
1.0%
3601 1
1.0%

서구 남
Real number (ℝ)

Distinct97
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean989.55446
Minimum2
Maximum2175
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:21:56.494725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile10
Q1521
median1079
Q31539
95-th percentile1961
Maximum2175
Range2173
Interquartile range (IQR)1018

Descriptive statistics

Standard deviation642.2421
Coefficient of variation (CV)0.64902148
Kurtosis-1.1897984
Mean989.55446
Median Absolute Deviation (MAD)516
Skewness-0.062558922
Sum99945
Variance412474.91
MonotonicityNot monotonic
2023-09-29T01:21:57.806159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 2
 
2.0%
1624 2
 
2.0%
10 2
 
2.0%
1333 2
 
2.0%
485 1
 
1.0%
1401 1
 
1.0%
753 1
 
1.0%
619 1
 
1.0%
861 1
 
1.0%
1018 1
 
1.0%
Other values (87) 87
86.1%
ValueCountFrequency (%)
2 1
1.0%
3 1
1.0%
4 2
2.0%
7 1
1.0%
10 2
2.0%
12 1
1.0%
23 1
1.0%
25 1
1.0%
27 1
1.0%
46 1
1.0%
ValueCountFrequency (%)
2175 1
1.0%
2163 1
1.0%
2131 1
1.0%
2073 1
1.0%
1962 1
1.0%
1961 1
1.0%
1877 1
1.0%
1857 1
1.0%
1838 1
1.0%
1825 1
1.0%

서구 여
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean969.74257
Minimum9
Maximum2309
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:21:59.383958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile40
Q1532
median986
Q31308
95-th percentile1903
Maximum2309
Range2300
Interquartile range (IQR)776

Descriptive statistics

Standard deviation590.24974
Coefficient of variation (CV)0.60866642
Kurtosis-0.63212936
Mean969.74257
Median Absolute Deviation (MAD)427
Skewness0.22405444
Sum97944
Variance348394.75
MonotonicityNot monotonic
2023-09-29T01:21:59.863744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
998 2
 
2.0%
532 2
 
2.0%
1158 2
 
2.0%
466 1
 
1.0%
1479 1
 
1.0%
1140 1
 
1.0%
986 1
 
1.0%
919 1
 
1.0%
680 1
 
1.0%
1073 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
9 1
1.0%
13 1
1.0%
15 1
1.0%
18 1
1.0%
29 1
1.0%
40 1
1.0%
65 1
1.0%
68 1
1.0%
74 1
1.0%
82 1
1.0%
ValueCountFrequency (%)
2309 1
1.0%
2304 1
1.0%
2158 1
1.0%
2129 1
1.0%
1972 1
1.0%
1903 1
1.0%
1898 1
1.0%
1877 1
1.0%
1849 1
1.0%
1818 1
1.0%

남구 계
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1537
Minimum15
Maximum3143
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:22:00.422484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile65
Q1891
median1771
Q32241
95-th percentile2723
Maximum3143
Range3128
Interquartile range (IQR)1350

Descriptive statistics

Standard deviation860.87099
Coefficient of variation (CV)0.56009824
Kurtosis-1.0555022
Mean1537
Median Absolute Deviation (MAD)718
Skewness-0.26184345
Sum155237
Variance741098.86
MonotonicityNot monotonic
2023-09-29T01:22:01.184894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1998 2
 
2.0%
30 2
 
2.0%
2371 1
 
1.0%
1773 1
 
1.0%
1492 1
 
1.0%
1396 1
 
1.0%
1157 1
 
1.0%
1692 1
 
1.0%
1875 1
 
1.0%
2080 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
15 1
1.0%
16 1
1.0%
29 1
1.0%
30 2
2.0%
65 1
1.0%
75 1
1.0%
83 1
1.0%
85 1
1.0%
111 1
1.0%
165 1
1.0%
ValueCountFrequency (%)
3143 1
1.0%
3058 1
1.0%
2817 1
1.0%
2810 1
1.0%
2752 1
1.0%
2723 1
1.0%
2720 1
1.0%
2631 1
1.0%
2585 1
1.0%
2583 1
1.0%

남구 남
Real number (ℝ)

Distinct96
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean747.0297
Minimum2
Maximum1442
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:22:02.022579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile14
Q1438
median812
Q31136
95-th percentile1318
Maximum1442
Range1440
Interquartile range (IQR)698

Descriptive statistics

Standard deviation437.12786
Coefficient of variation (CV)0.5851546
Kurtosis-1.1995456
Mean747.0297
Median Absolute Deviation (MAD)343
Skewness-0.30105504
Sum75450
Variance191080.77
MonotonicityNot monotonic
2023-09-29T01:22:03.127870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21 3
 
3.0%
447 2
 
2.0%
978 2
 
2.0%
2 2
 
2.0%
959 1
 
1.0%
483 1
 
1.0%
736 1
 
1.0%
835 1
 
1.0%
914 1
 
1.0%
930 1
 
1.0%
Other values (86) 86
85.1%
ValueCountFrequency (%)
2 2
2.0%
4 1
 
1.0%
5 1
 
1.0%
7 1
 
1.0%
14 1
 
1.0%
16 1
 
1.0%
21 3
3.0%
48 1
 
1.0%
70 1
 
1.0%
75 1
 
1.0%
ValueCountFrequency (%)
1442 1
1.0%
1401 1
1.0%
1366 1
1.0%
1362 1
1.0%
1344 1
1.0%
1318 1
1.0%
1293 1
1.0%
1288 1
1.0%
1285 1
1.0%
1266 1
1.0%

남구 여
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean789.9703
Minimum12
Maximum1701
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:22:04.119351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile49
Q1426
median872
Q31104
95-th percentile1448
Maximum1701
Range1689
Interquartile range (IQR)678

Descriptive statistics

Standard deviation433.26351
Coefficient of variation (CV)0.54845544
Kurtosis-0.89155974
Mean789.9703
Median Absolute Deviation (MAD)351
Skewness-0.16390539
Sum79787
Variance187717.27
MonotonicityNot monotonic
2023-09-29T01:22:04.982345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
969 2
 
2.0%
416 2
 
2.0%
362 1
 
1.0%
991 1
 
1.0%
893 1
 
1.0%
1013 1
 
1.0%
849 1
 
1.0%
800 1
 
1.0%
674 1
 
1.0%
956 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
12 1
1.0%
13 1
1.0%
23 1
1.0%
24 1
1.0%
28 1
1.0%
49 1
1.0%
61 1
1.0%
62 1
1.0%
64 1
1.0%
90 1
1.0%
ValueCountFrequency (%)
1701 1
1.0%
1657 1
1.0%
1480 1
1.0%
1458 1
1.0%
1451 1
1.0%
1448 1
1.0%
1434 1
1.0%
1400 1
1.0%
1342 1
1.0%
1329 1
1.0%

북구 계
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4353.4059
Minimum8
Maximum8673
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:22:05.705921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile74
Q12322
median4496
Q36592
95-th percentile8164
Maximum8673
Range8665
Interquartile range (IQR)4270

Descriptive statistics

Standard deviation2601.6075
Coefficient of variation (CV)0.59760277
Kurtosis-1.0450492
Mean4353.4059
Median Absolute Deviation (MAD)2111
Skewness-0.2210905
Sum439694
Variance6768361.4
MonotonicityNot monotonic
2023-09-29T01:22:06.555327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 2
 
2.0%
3315 1
 
1.0%
4225 1
 
1.0%
2484 1
 
1.0%
2588 1
 
1.0%
2036 1
 
1.0%
2827 1
 
1.0%
3407 1
 
1.0%
3698 1
 
1.0%
3591 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
8 1
1.0%
18 1
1.0%
31 1
1.0%
53 1
1.0%
67 1
1.0%
74 1
1.0%
100 2
2.0%
127 1
1.0%
186 1
1.0%
252 1
1.0%
ValueCountFrequency (%)
8673 1
1.0%
8631 1
1.0%
8529 1
1.0%
8485 1
1.0%
8407 1
1.0%
8164 1
1.0%
8090 1
1.0%
7981 1
1.0%
7808 1
1.0%
7766 1
1.0%

북구 남
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2177.0396
Minimum1
Maximum4374
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:22:07.186921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile14
Q1949
median2329
Q33311
95-th percentile3986
Maximum4374
Range4373
Interquartile range (IQR)2362

Descriptive statistics

Standard deviation1364.0492
Coefficient of variation (CV)0.62656151
Kurtosis-1.2000417
Mean2177.0396
Median Absolute Deviation (MAD)1102
Skewness-0.271136
Sum219881
Variance1860630.3
MonotonicityNot monotonic
2023-09-29T01:22:08.024307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3977 2
 
2.0%
2135 2
 
2.0%
11 2
 
2.0%
1654 1
 
1.0%
1915 1
 
1.0%
1438 1
 
1.0%
1015 1
 
1.0%
1063 1
 
1.0%
924 1
 
1.0%
1302 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
4 1
1.0%
11 2
2.0%
14 1
1.0%
17 1
1.0%
18 1
1.0%
30 1
1.0%
32 1
1.0%
66 1
1.0%
ValueCountFrequency (%)
4374 1
1.0%
4295 1
1.0%
4218 1
1.0%
4217 1
1.0%
4112 1
1.0%
3986 1
1.0%
3977 2
2.0%
3919 1
1.0%
3888 1
1.0%
3876 1
1.0%

북구 여
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2176.3663
Minimum7
Maximum4336
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:22:08.762946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile56
Q11375
median2170
Q33144
95-th percentile4245
Maximum4336
Range4329
Interquartile range (IQR)1769

Descriptive statistics

Standard deviation1251.3115
Coefficient of variation (CV)0.57495445
Kurtosis-0.86145348
Mean2176.3663
Median Absolute Deviation (MAD)920
Skewness-0.13932228
Sum219813
Variance1565780.5
MonotonicityNot monotonic
2023-09-29T01:22:09.854074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3848 2
 
2.0%
1525 2
 
2.0%
56 2
 
2.0%
2182 1
 
1.0%
1750 1
 
1.0%
1469 1
 
1.0%
1112 1
 
1.0%
1872 1
 
1.0%
2055 1
 
1.0%
1909 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
7 1
1.0%
14 1
1.0%
29 1
1.0%
42 1
1.0%
56 2
2.0%
83 1
1.0%
86 1
1.0%
95 1
1.0%
156 1
1.0%
185 1
1.0%
ValueCountFrequency (%)
4336 1
1.0%
4311 1
1.0%
4299 1
1.0%
4295 1
1.0%
4268 1
1.0%
4245 1
1.0%
4104 1
1.0%
4007 1
1.0%
4004 1
1.0%
3848 2
2.0%

수성구 계
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4411.5743
Minimum23
Maximum9488
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:22:11.127009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23
5-th percentile116
Q12385
median4479
Q36399
95-th percentile8720
Maximum9488
Range9465
Interquartile range (IQR)4014

Descriptive statistics

Standard deviation2674.3028
Coefficient of variation (CV)0.60620147
Kurtosis-0.97718415
Mean4411.5743
Median Absolute Deviation (MAD)2026
Skewness-0.041320301
Sum445569
Variance7151895.4
MonotonicityNot monotonic
2023-09-29T01:22:12.808303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23 2
 
2.0%
7236 2
 
2.0%
2153 1
 
1.0%
3995 1
 
1.0%
3313 1
 
1.0%
2833 1
 
1.0%
2648 1
 
1.0%
2146 1
 
1.0%
3057 1
 
1.0%
3613 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
23 2
2.0%
40 1
1.0%
50 1
1.0%
90 1
1.0%
116 1
1.0%
117 1
1.0%
137 1
1.0%
187 1
1.0%
287 1
1.0%
387 1
1.0%
ValueCountFrequency (%)
9488 1
1.0%
9388 1
1.0%
9286 1
1.0%
9253 1
1.0%
8830 1
1.0%
8720 1
1.0%
8251 1
1.0%
8009 1
1.0%
7979 1
1.0%
7885 1
1.0%

수성구 남
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2152.1485
Minimum4
Maximum4526
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:22:13.900072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile21
Q11020
median2258
Q33287
95-th percentile4112
Maximum4526
Range4522
Interquartile range (IQR)2267

Descriptive statistics

Standard deviation1358.3386
Coefficient of variation (CV)0.6311547
Kurtosis-1.1555576
Mean2152.1485
Median Absolute Deviation (MAD)1165
Skewness-0.10770851
Sum217367
Variance1845083.9
MonotonicityNot monotonic
2023-09-29T01:22:14.762457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 2
 
2.0%
21 2
 
2.0%
1093 1
 
1.0%
2564 1
 
1.0%
1153 1
 
1.0%
988 1
 
1.0%
1357 1
 
1.0%
1620 1
 
1.0%
1662 1
 
1.0%
1757 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
4 1
1.0%
5 1
1.0%
8 2
2.0%
21 2
2.0%
27 1
1.0%
36 1
1.0%
49 1
1.0%
74 1
1.0%
107 1
1.0%
120 1
1.0%
ValueCountFrequency (%)
4526 1
1.0%
4399 1
1.0%
4318 1
1.0%
4273 1
1.0%
4271 1
1.0%
4112 1
1.0%
3970 1
1.0%
3966 1
1.0%
3932 1
1.0%
3927 1
1.0%

수성구 여
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2259.4257
Minimum18
Maximum5089
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:22:15.677608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile89
Q11274
median2203
Q33225
95-th percentile4650
Maximum5089
Range5071
Interquartile range (IQR)1951

Descriptive statistics

Standard deviation1343.8773
Coefficient of variation (CV)0.5947871
Kurtosis-0.68992377
Mean2259.4257
Median Absolute Deviation (MAD)996
Skewness0.11762377
Sum228202
Variance1806006.1
MonotonicityNot monotonic
2023-09-29T01:22:16.585938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1060 1
 
1.0%
2534 1
 
1.0%
1861 1
 
1.0%
1600 1
 
1.0%
1495 1
 
1.0%
1158 1
 
1.0%
1700 1
 
1.0%
1993 1
 
1.0%
2046 1
 
1.0%
1995 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
18 1
1.0%
19 1
1.0%
32 1
1.0%
42 1
1.0%
69 1
1.0%
89 1
1.0%
96 1
1.0%
101 1
1.0%
138 1
1.0%
213 1
1.0%
ValueCountFrequency (%)
5089 1
1.0%
5013 1
1.0%
4935 1
1.0%
4862 1
1.0%
4788 1
1.0%
4650 1
1.0%
4559 1
1.0%
4355 1
1.0%
4118 1
1.0%
4009 1
1.0%

달서구 계
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5833.0594
Minimum13
Maximum11773
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:22:17.559894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile86
Q12553
median6088
Q38794
95-th percentile11061
Maximum11773
Range11760
Interquartile range (IQR)6241

Descriptive statistics

Standard deviation3599.0824
Coefficient of variation (CV)0.61701453
Kurtosis-1.1698375
Mean5833.0594
Median Absolute Deviation (MAD)2914
Skewness-0.1789944
Sum589139
Variance12953394
MonotonicityNot monotonic
2023-09-29T01:22:18.339428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5257 2
 
2.0%
4046 1
 
1.0%
5302 1
 
1.0%
3167 1
 
1.0%
3668 1
 
1.0%
2927 1
 
1.0%
2990 1
 
1.0%
2465 1
 
1.0%
3671 1
 
1.0%
4293 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
13 1
1.0%
26 1
1.0%
33 1
1.0%
45 1
1.0%
67 1
1.0%
86 1
1.0%
121 1
1.0%
137 1
1.0%
200 1
1.0%
237 1
1.0%
ValueCountFrequency (%)
11773 1
1.0%
11541 1
1.0%
11481 1
1.0%
11135 1
1.0%
11089 1
1.0%
11061 1
1.0%
11011 1
1.0%
11009 1
1.0%
10916 1
1.0%
10768 1
1.0%

달서구 남
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2896.6733
Minimum3
Maximum5628
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:22:18.940295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile15
Q11141
median3000
Q34431
95-th percentile5286
Maximum5628
Range5625
Interquartile range (IQR)3290

Descriptive statistics

Standard deviation1849.6085
Coefficient of variation (CV)0.63852852
Kurtosis-1.297815
Mean2896.6733
Median Absolute Deviation (MAD)1676
Skewness-0.26582328
Sum292564
Variance3421051.6
MonotonicityNot monotonic
2023-09-29T01:22:19.709424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 2
 
2.0%
2126 1
 
1.0%
2829 1
 
1.0%
1239 1
 
1.0%
1314 1
 
1.0%
1141 1
 
1.0%
1758 1
 
1.0%
2011 1
 
1.0%
2149 1
 
1.0%
2211 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
3 1
1.0%
4 2
2.0%
7 1
1.0%
13 1
1.0%
15 1
1.0%
28 1
1.0%
39 1
1.0%
42 1
1.0%
52 1
1.0%
81 1
1.0%
ValueCountFrequency (%)
5628 1
1.0%
5626 1
1.0%
5524 1
1.0%
5501 1
1.0%
5467 1
1.0%
5286 1
1.0%
5284 1
1.0%
5262 1
1.0%
5233 1
1.0%
5161 1
1.0%

달서구 여
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2936.3861
Minimum10
Maximum6145
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:22:20.920544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile71
Q11558
median2924
Q34268
95-th percentile5776
Maximum6145
Range6135
Interquartile range (IQR)2710

Descriptive statistics

Standard deviation1770.2528
Coefficient of variation (CV)0.60286785
Kurtosis-0.98390335
Mean2936.3861
Median Absolute Deviation (MAD)1359
Skewness-0.044004675
Sum296575
Variance3133794.9
MonotonicityNot monotonic
2023-09-29T01:22:21.467120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1920 1
 
1.0%
3466 1
 
1.0%
2070 1
 
1.0%
1688 1
 
1.0%
1676 1
 
1.0%
1324 1
 
1.0%
1913 1
 
1.0%
2282 1
 
1.0%
2413 1
 
1.0%
2354 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
10 1
1.0%
22 1
1.0%
29 1
1.0%
38 1
1.0%
54 1
1.0%
71 1
1.0%
93 1
1.0%
98 1
1.0%
158 1
1.0%
185 1
1.0%
ValueCountFrequency (%)
6145 1
1.0%
5957 1
1.0%
5915 1
1.0%
5849 1
1.0%
5799 1
1.0%
5776 1
1.0%
5727 1
1.0%
5588 1
1.0%
5542 1
1.0%
5535 1
1.0%

달성군 계
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2230.1683
Minimum8
Maximum4468
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:22:22.372689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile29
Q11047
median2507
Q33204
95-th percentile3923
Maximum4468
Range4460
Interquartile range (IQR)2157

Descriptive statistics

Standard deviation1324.9777
Coefficient of variation (CV)0.59411554
Kurtosis-1.0756767
Mean2230.1683
Median Absolute Deviation (MAD)1188
Skewness-0.27230304
Sum225247
Variance1755565.8
MonotonicityNot monotonic
2023-09-29T01:22:23.544864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3731 2
 
2.0%
2591 1
 
1.0%
2363 1
 
1.0%
1379 1
 
1.0%
1132 1
 
1.0%
1131 1
 
1.0%
989 1
 
1.0%
1242 1
 
1.0%
1574 1
 
1.0%
1754 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
8 1
1.0%
9 1
1.0%
21 1
1.0%
22 1
1.0%
24 1
1.0%
29 1
1.0%
52 1
1.0%
64 1
1.0%
71 1
1.0%
99 1
1.0%
ValueCountFrequency (%)
4468 1
1.0%
4464 1
1.0%
4415 1
1.0%
4332 1
1.0%
3925 1
1.0%
3923 1
1.0%
3894 1
1.0%
3889 1
1.0%
3887 1
1.0%
3855 1
1.0%

달성군 남
Real number (ℝ)

Distinct97
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1136.1485
Minimum2
Maximum2361
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:22:24.363128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile7
Q1471
median1313
Q31686
95-th percentile2050
Maximum2361
Range2359
Interquartile range (IQR)1215

Descriptive statistics

Standard deviation712.5073
Coefficient of variation (CV)0.62712514
Kurtosis-1.1990539
Mean1136.1485
Median Absolute Deviation (MAD)550
Skewness-0.31182421
Sum114751
Variance507666.65
MonotonicityNot monotonic
2023-09-29T01:22:25.122822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 3
 
3.0%
1443 2
 
2.0%
7 2
 
2.0%
1333 1
 
1.0%
1287 1
 
1.0%
489 1
 
1.0%
580 1
 
1.0%
763 1
 
1.0%
873 1
 
1.0%
844 1
 
1.0%
Other values (87) 87
86.1%
ValueCountFrequency (%)
2 3
3.0%
4 1
 
1.0%
7 2
2.0%
11 1
 
1.0%
15 1
 
1.0%
16 1
 
1.0%
26 1
 
1.0%
27 1
 
1.0%
46 1
 
1.0%
52 1
 
1.0%
ValueCountFrequency (%)
2361 1
1.0%
2280 1
1.0%
2246 1
1.0%
2120 1
1.0%
2051 1
1.0%
2050 1
1.0%
2030 1
1.0%
2024 1
1.0%
2006 1
1.0%
2001 1
1.0%

달성군 여
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1094.0198
Minimum6
Maximum2212
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:22:26.170614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile22
Q1661
median1166
Q31553
95-th percentile1911
Maximum2212
Range2206
Interquartile range (IQR)892

Descriptive statistics

Standard deviation618.63665
Coefficient of variation (CV)0.56547116
Kurtosis-0.91427407
Mean1094.0198
Median Absolute Deviation (MAD)504
Skewness-0.21507909
Sum110496
Variance382711.3
MonotonicityNot monotonic
2023-09-29T01:22:27.716158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1271 2
 
2.0%
1020 2
 
2.0%
1258 1
 
1.0%
985 1
 
1.0%
731 1
 
1.0%
786 1
 
1.0%
661 1
 
1.0%
599 1
 
1.0%
500 1
 
1.0%
662 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
6 1
1.0%
7 1
1.0%
17 1
1.0%
18 1
1.0%
19 1
1.0%
22 1
1.0%
41 1
1.0%
49 1
1.0%
55 1
1.0%
72 1
1.0%
ValueCountFrequency (%)
2212 1
1.0%
2188 1
1.0%
2169 1
1.0%
2103 1
1.0%
1938 1
1.0%
1911 1
1.0%
1901 1
1.0%
1900 1
1.0%
1899 1
1.0%
1888 1
1.0%

Sample

구분총계총계 남총계 여중구 계중구 남중구 여동구 계동구 남동구 여서구 계서구 남서구 여남구 계남구 남남구 여북구 계북구 남북구 여수성구 계수성구 남수성구 여달서구 계달서구 남달서구 여달성군 계달성군 남달성군 여
00세1703486948340618321297260512891316951485466755393362331516541661215310931060404621261920259113331258
11세195311002695055873052823038152715111083567516878447431374519301815270014301270461223772235288814431445
22세199841020197835892922973139163415051054536518807405402378919731816275013861364493825202418291814551463
33세19644997196735482832652973148114921180598582891454437381319181895297715451432463923402299262313521271
44세2177811176106026093242853279169715821175591584912447465410621351971346317611702525726762581297715451432
55세2162811130104985703112593241169115501098566532909489420408221291953365918591800523126422589283814431395
66세2201711316107015672892783082158514971158599559835438397414121421999399620311965548028282652275814041354
77세20293105499744480266214290815161392940462478787403384377819371841392720541873510326782425237012331137
88세2117411016101584782372412888150213861070538532897475422398520401945426922662003521427342480237312241149
99세2301611769112475292852443010152714831154581573948471477443723292108489524652430566328972766238012141166
구분총계총계 남총계 여중구 계중구 남중구 여동구 계동구 남동구 여서구 계서구 남서구 여남구 계남구 남남구 여북구 계북구 남북구 여수성구 계수성구 남수성구 여달서구 계달서구 남달서구 여달성군 계달성군 남달성군 여
9191세1277281996641549194371579925741112190186301562877421323752185992772
9292세9892207695811471693913092108285216412732951874913820042158711655
9393세766161605441133129201098012687514611001486137361011373998641549
9494세64314250135629862264501040832162100178311627891212893521141
9595세46684382264227512633672930723671156117219686157129722
9696세28754233298213610262241830228531142508424573822418
9797세223401831257411130163132952431229408323342921219
9898세1382910950528721134916412184142341926422927
9999세118269211292391417215152138172351813310826
100100세 이상598133465871671103198488236565164974185690216967135424717