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

Description2015년9월말 기준 주민등록인구통계
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3077757&dataSetDetailId=30777571fe6483d6314b_201705311601&provdMethod=FILE

Alerts

구분 has unique valuesUnique
총계 has unique valuesUnique
총계 남 has unique valuesUnique
총계 여 has unique valuesUnique
동구 계 has unique valuesUnique
북구 계 has unique valuesUnique
북구 여 has unique valuesUnique
달서구 계 has unique valuesUnique
달서구 남 has unique valuesUnique
중구 남 has 2 (2.0%) zerosZeros

Reproduction

Analysis started2023-09-29 01:16:36.658299
Analysis finished2023-09-29 01:16:37.360737
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
2023-09-29T01:16:37.991508image/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%
2023-09-29T01:16:39.929522image/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%
Mean24659.248
Minimum107
Maximum49043
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:16:40.692181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum107
5-th percentile494
Q114251
median25398
Q336324
95-th percentile45676
Maximum49043
Range48936
Interquartile range (IQR)22073

Descriptive statistics

Standard deviation14488.339
Coefficient of variation (CV)0.5875418
Kurtosis-1.0543481
Mean24659.248
Median Absolute Deviation (MAD)11147
Skewness-0.27245179
Sum2490584
Variance2.0991196 × 108
MonotonicityNot monotonic
2023-09-29T01:16:41.532295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18574 1
 
1.0%
22172 1
 
1.0%
15809 1
 
1.0%
19246 1
 
1.0%
18725 1
 
1.0%
17267 1
 
1.0%
15368 1
 
1.0%
13977 1
 
1.0%
20886 1
 
1.0%
22864 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
107 1
1.0%
148 1
1.0%
179 1
1.0%
259 1
1.0%
391 1
1.0%
494 1
1.0%
534 1
1.0%
755 1
1.0%
993 1
1.0%
1050 1
1.0%
ValueCountFrequency (%)
49043 1
1.0%
47144 1
1.0%
46794 1
1.0%
46471 1
1.0%
46265 1
1.0%
45676 1
1.0%
44004 1
1.0%
43959 1
1.0%
43922 1
1.0%
43626 1
1.0%

총계 남
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12266.356
Minimum16
Maximum24025
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:16:43.296771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile88
Q15953
median13451
Q318674
95-th percentile22427
Maximum24025
Range24009
Interquartile range (IQR)12721

Descriptive statistics

Standard deviation7560.2944
Coefficient of variation (CV)0.61634393
Kurtosis-1.2089212
Mean12266.356
Median Absolute Deviation (MAD)5966
Skewness-0.32104377
Sum1238902
Variance57158051
MonotonicityNot monotonic
2023-09-29T01:16:46.017375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9597 1
 
1.0%
10433 1
 
1.0%
6656 1
 
1.0%
8419 1
 
1.0%
8289 1
 
1.0%
7485 1
 
1.0%
6822 1
 
1.0%
6548 1
 
1.0%
9567 1
 
1.0%
10675 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
16 1
1.0%
28 1
1.0%
33 1
1.0%
54 1
1.0%
81 1
1.0%
88 1
1.0%
119 1
1.0%
159 1
1.0%
220 1
1.0%
224 1
1.0%
ValueCountFrequency (%)
24025 1
1.0%
23341 1
1.0%
22959 1
1.0%
22905 1
1.0%
22514 1
1.0%
22427 1
1.0%
21990 1
1.0%
21751 1
1.0%
21624 1
1.0%
21604 1
1.0%

총계 여
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12392.891
Minimum91
Maximum25018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:16:46.920402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum91
5-th percentile406
Q18367
median12552
Q317740
95-th percentile23249
Maximum25018
Range24927
Interquartile range (IQR)9373

Descriptive statistics

Standard deviation7012.4467
Coefficient of variation (CV)0.56584429
Kurtosis-0.88009768
Mean12392.891
Median Absolute Deviation (MAD)4992
Skewness-0.19076558
Sum1251682
Variance49174409
MonotonicityNot monotonic
2023-09-29T01:16:47.626871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8977 1
 
1.0%
11739 1
 
1.0%
9153 1
 
1.0%
10827 1
 
1.0%
10436 1
 
1.0%
9782 1
 
1.0%
8546 1
 
1.0%
7429 1
 
1.0%
11319 1
 
1.0%
12189 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
91 1
1.0%
120 1
1.0%
146 1
1.0%
205 1
1.0%
310 1
1.0%
406 1
1.0%
415 1
1.0%
596 1
1.0%
769 1
1.0%
830 1
1.0%
ValueCountFrequency (%)
25018 1
1.0%
23889 1
1.0%
23803 1
1.0%
23751 1
1.0%
23512 1
1.0%
23249 1
1.0%
22515 1
1.0%
22298 1
1.0%
22072 1
1.0%
22060 1
1.0%

중구 계
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean799.60396
Minimum9
Maximum1485
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:16:48.582142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile34
Q1505
median908
Q31143
95-th percentile1386
Maximum1485
Range1476
Interquartile range (IQR)638

Descriptive statistics

Standard deviation431.16069
Coefficient of variation (CV)0.5392178
Kurtosis-1.024626
Mean799.60396
Median Absolute Deviation (MAD)304
Skewness-0.40929541
Sum80760
Variance185899.54
MonotonicityNot monotonic
2023-09-29T01:16:50.040181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
620 2
 
2.0%
505 2
 
2.0%
959 2
 
2.0%
612 1
 
1.0%
980 1
 
1.0%
720 1
 
1.0%
753 1
 
1.0%
944 1
 
1.0%
913 1
 
1.0%
886 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
9 1
1.0%
10 1
1.0%
12 1
1.0%
13 1
1.0%
29 1
1.0%
34 1
1.0%
42 1
1.0%
56 1
1.0%
67 1
1.0%
79 1
1.0%
ValueCountFrequency (%)
1485 1
1.0%
1463 1
1.0%
1423 1
1.0%
1396 1
1.0%
1393 1
1.0%
1386 1
1.0%
1348 1
1.0%
1340 1
1.0%
1327 1
1.0%
1312 1
1.0%

중구 남
Real number (ℝ)

ZEROS 

Distinct92
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean390.29703
Minimum0
Maximum731
Zeros2
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:16:50.992394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q1247
median419
Q3588
95-th percentile672
Maximum731
Range731
Interquartile range (IQR)341

Descriptive statistics

Standard deviation225.64058
Coefficient of variation (CV)0.57812528
Kurtosis-1.1160828
Mean390.29703
Median Absolute Deviation (MAD)170
Skewness-0.36137158
Sum39420
Variance50913.671
MonotonicityNot monotonic
2023-09-29T01:16:51.815624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
569 3
 
3.0%
669 2
 
2.0%
534 2
 
2.0%
582 2
 
2.0%
594 2
 
2.0%
590 2
 
2.0%
0 2
 
2.0%
635 2
 
2.0%
515 1
 
1.0%
377 1
 
1.0%
Other values (82) 82
81.2%
ValueCountFrequency (%)
0 2
2.0%
1 1
1.0%
2 1
1.0%
4 1
1.0%
6 1
1.0%
11 1
1.0%
15 1
1.0%
17 1
1.0%
19 1
1.0%
20 1
1.0%
ValueCountFrequency (%)
731 1
1.0%
721 1
1.0%
719 1
1.0%
718 1
1.0%
685 1
1.0%
672 1
1.0%
671 1
1.0%
669 2
2.0%
666 1
1.0%
651 1
1.0%

중구 여
Real number (ℝ)

Distinct91
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean409.30693
Minimum9
Maximum778
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:16:52.765212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile28
Q1255
median479
Q3570
95-th percentile692
Maximum778
Range769
Interquartile range (IQR)315

Descriptive statistics

Standard deviation209.96208
Coefficient of variation (CV)0.51296976
Kurtosis-0.92366932
Mean409.30693
Median Absolute Deviation (MAD)141
Skewness-0.40774146
Sum41340
Variance44084.075
MonotonicityNot monotonic
2023-09-29T01:16:53.734242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
583 3
 
3.0%
553 2
 
2.0%
601 2
 
2.0%
570 2
 
2.0%
558 2
 
2.0%
508 2
 
2.0%
203 2
 
2.0%
255 2
 
2.0%
11 2
 
2.0%
560 1
 
1.0%
Other values (81) 81
80.2%
ValueCountFrequency (%)
9 1
1.0%
10 1
1.0%
11 2
2.0%
18 1
1.0%
28 1
1.0%
38 1
1.0%
41 1
1.0%
48 1
1.0%
62 1
1.0%
71 1
1.0%
ValueCountFrequency (%)
778 1
1.0%
767 1
1.0%
724 1
1.0%
705 1
1.0%
697 1
1.0%
692 1
1.0%
691 1
1.0%
677 1
1.0%
667 1
1.0%
665 1
1.0%

동구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3467.7822
Minimum24
Maximum6858
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:16:54.984764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile74
Q12400
median3661
Q35258
95-th percentile5835
Maximum6858
Range6834
Interquartile range (IQR)2858

Descriptive statistics

Standard deviation1926.0461
Coefficient of variation (CV)0.55541149
Kurtosis-0.89879758
Mean3467.7822
Median Absolute Deviation (MAD)1505
Skewness-0.40175957
Sum350246
Variance3709653.5
MonotonicityNot monotonic
2023-09-29T01:16:55.941014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3001 1
 
1.0%
3661 1
 
1.0%
2766 1
 
1.0%
3293 1
 
1.0%
3238 1
 
1.0%
2998 1
 
1.0%
2699 1
 
1.0%
2400 1
 
1.0%
3543 1
 
1.0%
3874 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
24 1
1.0%
29 1
1.0%
30 1
1.0%
53 1
1.0%
65 1
1.0%
74 1
1.0%
91 1
1.0%
117 1
1.0%
139 1
1.0%
166 1
1.0%
ValueCountFrequency (%)
6858 1
1.0%
6640 1
1.0%
6195 1
1.0%
6024 1
1.0%
5990 1
1.0%
5835 1
1.0%
5818 1
1.0%
5808 1
1.0%
5791 1
1.0%
5748 1
1.0%

동구 남
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1728.901
Minimum2
Maximum3244
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:16:57.063457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile17
Q11097
median1860
Q32625
95-th percentile2988
Maximum3244
Range3242
Interquartile range (IQR)1528

Descriptive statistics

Standard deviation1008.6821
Coefficient of variation (CV)0.58342385
Kurtosis-1.0547497
Mean1728.901
Median Absolute Deviation (MAD)765
Skewness-0.44159628
Sum174619
Variance1017439.5
MonotonicityNot monotonic
2023-09-29T01:16:58.083805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1556 2
 
2.0%
1497 2
 
2.0%
2834 2
 
2.0%
1948 1
 
1.0%
1097 1
 
1.0%
1213 1
 
1.0%
1418 1
 
1.0%
1458 1
 
1.0%
1303 1
 
1.0%
1198 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
2 1
1.0%
4 1
1.0%
10 1
1.0%
13 1
1.0%
15 1
1.0%
17 1
1.0%
19 1
1.0%
21 1
1.0%
28 1
1.0%
29 1
1.0%
ValueCountFrequency (%)
3244 1
1.0%
3137 1
1.0%
3114 1
1.0%
3063 1
1.0%
3028 1
1.0%
2988 1
1.0%
2972 1
1.0%
2939 1
1.0%
2938 1
1.0%
2900 1
1.0%

동구 여
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1738.8812
Minimum19
Maximum3614
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:16:58.707997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile57
Q11273
median1787
Q32587
95-th percentile2987
Maximum3614
Range3595
Interquartile range (IQR)1314

Descriptive statistics

Standard deviation934.74796
Coefficient of variation (CV)0.53755712
Kurtosis-0.72589121
Mean1738.8812
Median Absolute Deviation (MAD)692
Skewness-0.29879771
Sum175627
Variance873753.75
MonotonicityNot monotonic
2023-09-29T01:16:59.592589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1787 2
 
2.0%
203 2
 
2.0%
3614 1
 
1.0%
2004 1
 
1.0%
1553 1
 
1.0%
1875 1
 
1.0%
1780 1
 
1.0%
1695 1
 
1.0%
1501 1
 
1.0%
1291 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
19 1
1.0%
22 1
1.0%
26 1
1.0%
34 1
1.0%
52 1
1.0%
57 1
1.0%
76 1
1.0%
96 1
1.0%
111 1
1.0%
137 1
1.0%
ValueCountFrequency (%)
3614 1
1.0%
3503 1
1.0%
3256 1
1.0%
3001 1
1.0%
2996 1
1.0%
2987 1
1.0%
2958 1
1.0%
2949 1
1.0%
2927 1
1.0%
2914 1
1.0%

서구 계
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2051.1089
Minimum12
Maximum4774
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:01.113023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile42
Q11115
median2320
Q32982
95-th percentile3905
Maximum4774
Range4762
Interquartile range (IQR)1867

Descriptive statistics

Standard deviation1277.656
Coefficient of variation (CV)0.62290988
Kurtosis-1.0188698
Mean2051.1089
Median Absolute Deviation (MAD)1042
Skewness-0.038370296
Sum207162
Variance1632404.9
MonotonicityNot monotonic
2023-09-29T01:17:02.527724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129 2
 
2.0%
3375 1
 
1.0%
2023 1
 
1.0%
1990 1
 
1.0%
1892 1
 
1.0%
1573 1
 
1.0%
1429 1
 
1.0%
2210 1
 
1.0%
2504 1
 
1.0%
2715 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
12 1
1.0%
15 1
1.0%
23 1
1.0%
25 1
1.0%
26 1
1.0%
42 1
1.0%
61 1
1.0%
83 1
1.0%
92 1
1.0%
103 1
1.0%
ValueCountFrequency (%)
4774 1
1.0%
4513 1
1.0%
4289 1
1.0%
4272 1
1.0%
4031 1
1.0%
3905 1
1.0%
3877 1
1.0%
3818 1
1.0%
3795 1
1.0%
3724 1
1.0%

서구 남
Real number (ℝ)

Distinct96
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1038.0792
Minimum0
Maximum2358
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:03.398900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q1557
median1127
Q31609
95-th percentile1995
Maximum2358
Range2358
Interquartile range (IQR)1052

Descriptive statistics

Standard deviation677.86396
Coefficient of variation (CV)0.65299831
Kurtosis-1.2457267
Mean1038.0792
Median Absolute Deviation (MAD)541
Skewness-0.11721286
Sum104846
Variance459499.55
MonotonicityNot monotonic
2023-09-29T01:17:04.334525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
668 2
 
2.0%
1609 2
 
2.0%
1511 2
 
2.0%
4 2
 
2.0%
12 2
 
2.0%
586 1
 
1.0%
1212 1
 
1.0%
910 1
 
1.0%
880 1
 
1.0%
819 1
 
1.0%
Other values (86) 86
85.1%
ValueCountFrequency (%)
0 1
1.0%
1 1
1.0%
2 1
1.0%
4 2
2.0%
8 1
1.0%
12 2
2.0%
18 1
1.0%
24 1
1.0%
25 1
1.0%
28 1
1.0%
ValueCountFrequency (%)
2358 1
1.0%
2219 1
1.0%
2139 1
1.0%
2062 1
1.0%
2056 1
1.0%
1995 1
1.0%
1985 1
1.0%
1964 1
1.0%
1889 1
1.0%
1870 1
1.0%

서구 여
Real number (ℝ)

Distinct95
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1013.0297
Minimum12
Maximum2416
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:05.101967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile34
Q1568
median1104
Q31359
95-th percentile1957
Maximum2416
Range2404
Interquartile range (IQR)791

Descriptive statistics

Standard deviation612.20483
Coefficient of variation (CV)0.60433058
Kurtosis-0.7368563
Mean1013.0297
Median Absolute Deviation (MAD)474
Skewness0.10540066
Sum102316
Variance374794.75
MonotonicityNot monotonic
2023-09-29T01:17:06.003507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1110 2
 
2.0%
1835 2
 
2.0%
1813 2
 
2.0%
21 2
 
2.0%
616 2
 
2.0%
551 2
 
2.0%
1242 1
 
1.0%
1113 1
 
1.0%
1073 1
 
1.0%
829 1
 
1.0%
Other values (85) 85
84.2%
ValueCountFrequency (%)
12 1
1.0%
14 1
1.0%
21 2
2.0%
22 1
1.0%
34 1
1.0%
49 1
1.0%
59 1
1.0%
80 1
1.0%
85 1
1.0%
101 1
1.0%
ValueCountFrequency (%)
2416 1
1.0%
2294 1
1.0%
2216 1
1.0%
2150 1
1.0%
1969 1
1.0%
1957 1
1.0%
1925 1
1.0%
1920 1
1.0%
1913 1
1.0%
1876 1
1.0%

남구 계
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1602.0792
Minimum8
Maximum3263
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:06.778680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile48
Q1959
median1805
Q32369
95-th percentile2853
Maximum3263
Range3255
Interquartile range (IQR)1410

Descriptive statistics

Standard deviation903.09011
Coefficient of variation (CV)0.56369879
Kurtosis-1.0644198
Mean1602.0792
Median Absolute Deviation (MAD)736
Skewness-0.29855456
Sum161810
Variance815571.75
MonotonicityNot monotonic
2023-09-29T01:17:07.712444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
950 2
 
2.0%
2062 2
 
2.0%
2140 1
 
1.0%
1361 1
 
1.0%
1559 1
 
1.0%
1768 1
 
1.0%
1775 1
 
1.0%
1561 1
 
1.0%
1366 1
 
1.0%
1315 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
8 1
1.0%
14 1
1.0%
20 1
1.0%
28 1
1.0%
44 1
1.0%
48 1
1.0%
55 1
1.0%
67 1
1.0%
106 1
1.0%
108 1
1.0%
ValueCountFrequency (%)
3263 1
1.0%
3141 1
1.0%
2950 1
1.0%
2895 1
1.0%
2869 1
1.0%
2853 1
1.0%
2762 1
1.0%
2723 1
1.0%
2702 1
1.0%
2645 1
1.0%

남구 남
Real number (ℝ)

Distinct91
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean780.76238
Minimum1
Maximum1527
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:08.828805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11
Q1480
median842
Q31184
95-th percentile1353
Maximum1527
Range1526
Interquartile range (IQR)704

Descriptive statistics

Standard deviation461.48179
Coefficient of variation (CV)0.59106561
Kurtosis-1.2173572
Mean780.76238
Median Absolute Deviation (MAD)359
Skewness-0.32721306
Sum78857
Variance212965.44
MonotonicityNot monotonic
2023-09-29T01:17:09.847149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1112 3
 
3.0%
499 2
 
2.0%
389 2
 
2.0%
1286 2
 
2.0%
6 2
 
2.0%
1064 2
 
2.0%
34 2
 
2.0%
1267 2
 
2.0%
863 2
 
2.0%
483 1
 
1.0%
Other values (81) 81
80.2%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
4 1
1.0%
6 2
2.0%
11 1
1.0%
14 1
1.0%
17 1
1.0%
23 1
1.0%
24 1
1.0%
34 2
2.0%
ValueCountFrequency (%)
1527 1
1.0%
1430 1
1.0%
1393 1
1.0%
1361 1
1.0%
1357 1
1.0%
1353 1
1.0%
1350 1
1.0%
1334 1
1.0%
1331 1
1.0%
1328 1
1.0%

남구 여
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean821.31683
Minimum7
Maximum1736
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:10.840108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile38
Q1460
median931
Q31174
95-th percentile1476
Maximum1736
Range1729
Interquartile range (IQR)714

Descriptive statistics

Standard deviation451.93515
Coefficient of variation (CV)0.55025677
Kurtosis-0.89116837
Mean821.31683
Median Absolute Deviation (MAD)353
Skewness-0.2052558
Sum82953
Variance204245.38
MonotonicityNot monotonic
2023-09-29T01:17:11.649058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1164 2
 
2.0%
958 2
 
2.0%
467 1
 
1.0%
1061 1
 
1.0%
816 1
 
1.0%
922 1
 
1.0%
1024 1
 
1.0%
891 1
 
1.0%
779 1
 
1.0%
732 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
7 1
1.0%
10 1
1.0%
18 1
1.0%
22 1
1.0%
37 1
1.0%
38 1
1.0%
41 1
1.0%
50 1
1.0%
82 1
1.0%
85 1
1.0%
ValueCountFrequency (%)
1736 1
1.0%
1711 1
1.0%
1600 1
1.0%
1538 1
1.0%
1519 1
1.0%
1476 1
1.0%
1435 1
1.0%
1409 1
1.0%
1408 1
1.0%
1354 1
1.0%

북구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4396.0198
Minimum12
Maximum8811
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:12.560791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile67
Q12319
median4639
Q36658
95-th percentile8464
Maximum8811
Range8799
Interquartile range (IQR)4339

Descriptive statistics

Standard deviation2675.653
Coefficient of variation (CV)0.60865354
Kurtosis-1.0904965
Mean4396.0198
Median Absolute Deviation (MAD)2072
Skewness-0.22941507
Sum443998
Variance7159118.9
MonotonicityNot monotonic
2023-09-29T01:17:13.874688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3749 1
 
1.0%
3508 1
 
1.0%
2493 1
 
1.0%
3151 1
 
1.0%
2923 1
 
1.0%
2733 1
 
1.0%
2439 1
 
1.0%
2157 1
 
1.0%
3226 1
 
1.0%
3620 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
12 1
1.0%
19 1
1.0%
23 1
1.0%
35 1
1.0%
63 1
1.0%
67 1
1.0%
75 1
1.0%
109 1
1.0%
143 1
1.0%
148 1
1.0%
ValueCountFrequency (%)
8811 1
1.0%
8713 1
1.0%
8671 1
1.0%
8594 1
1.0%
8465 1
1.0%
8464 1
1.0%
8333 1
1.0%
8265 1
1.0%
7930 1
1.0%
7773 1
1.0%

북구 남
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2200.6139
Minimum3
Maximum4412
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:14.964732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile11
Q1970
median2331
Q33352
95-th percentile4186
Maximum4412
Range4409
Interquartile range (IQR)2382

Descriptive statistics

Standard deviation1402.5746
Coefficient of variation (CV)0.63735605
Kurtosis-1.23531
Mean2200.6139
Median Absolute Deviation (MAD)1188
Skewness-0.27238438
Sum222262
Variance1967215.4
MonotonicityNot monotonic
2023-09-29T01:17:15.584346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2273 2
 
2.0%
4 2
 
2.0%
1974 1
 
1.0%
1624 1
 
1.0%
1029 1
 
1.0%
1410 1
 
1.0%
1286 1
 
1.0%
1119 1
 
1.0%
1060 1
 
1.0%
1012 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
3 1
1.0%
4 2
2.0%
5 1
1.0%
10 1
1.0%
11 1
1.0%
16 1
1.0%
20 1
1.0%
22 1
1.0%
32 1
1.0%
53 1
1.0%
ValueCountFrequency (%)
4412 1
1.0%
4371 1
1.0%
4343 1
1.0%
4289 1
1.0%
4225 1
1.0%
4186 1
1.0%
4059 1
1.0%
4048 1
1.0%
3997 1
1.0%
3976 1
1.0%

북구 여
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2195.4059
Minimum8
Maximum4440
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:17.051505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile56
Q11349
median2265
Q33141
95-th percentile4259
Maximum4440
Range4432
Interquartile range (IQR)1792

Descriptive statistics

Standard deviation1285.7273
Coefficient of variation (CV)0.58564445
Kurtosis-0.92262073
Mean2195.4059
Median Absolute Deviation (MAD)888
Skewness-0.15950267
Sum221736
Variance1653094.7
MonotonicityNot monotonic
2023-09-29T01:17:19.030900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1775 1
 
1.0%
1884 1
 
1.0%
1464 1
 
1.0%
1741 1
 
1.0%
1637 1
 
1.0%
1614 1
 
1.0%
1379 1
 
1.0%
1145 1
 
1.0%
1745 1
 
1.0%
1954 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
8 1
1.0%
16 1
1.0%
19 1
1.0%
30 1
1.0%
47 1
1.0%
56 1
1.0%
65 1
1.0%
89 1
1.0%
111 1
1.0%
126 1
1.0%
ValueCountFrequency (%)
4440 1
1.0%
4370 1
1.0%
4305 1
1.0%
4279 1
1.0%
4274 1
1.0%
4259 1
1.0%
4239 1
1.0%
4217 1
1.0%
3954 1
1.0%
3927 1
1.0%

수성구 계
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4467.1485
Minimum15
Maximum9600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:21.462610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile74
Q12409
median4471
Q36888
95-th percentile8765
Maximum9600
Range9585
Interquartile range (IQR)4479

Descriptive statistics

Standard deviation2774.9014
Coefficient of variation (CV)0.62117957
Kurtosis-1.0353462
Mean4467.1485
Median Absolute Deviation (MAD)2179
Skewness-0.01963305
Sum451182
Variance7700077.8
MonotonicityNot monotonic
2023-09-29T01:17:22.936166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7789 2
 
2.0%
2488 1
 
1.0%
2265 1
 
1.0%
2485 1
 
1.0%
2658 1
 
1.0%
3175 1
 
1.0%
3228 1
 
1.0%
2901 1
 
1.0%
2590 1
 
1.0%
2309 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
15 1
1.0%
32 1
1.0%
40 1
1.0%
45 1
1.0%
73 1
1.0%
74 1
1.0%
92 1
1.0%
151 1
1.0%
197 1
1.0%
198 1
1.0%
ValueCountFrequency (%)
9600 1
1.0%
9569 1
1.0%
9559 1
1.0%
9439 1
1.0%
8855 1
1.0%
8765 1
1.0%
8394 1
1.0%
8215 1
1.0%
8132 1
1.0%
8086 1
1.0%

수성구 남
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2184.1089
Minimum4
Maximum4559
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:24.149456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile16
Q11026
median2268
Q33438
95-th percentile4184
Maximum4559
Range4555
Interquartile range (IQR)2412

Descriptive statistics

Standard deviation1415.6533
Coefficient of variation (CV)0.64816059
Kurtosis-1.2029787
Mean2184.1089
Median Absolute Deviation (MAD)1179
Skewness-0.072426543
Sum220595
Variance2004074.3
MonotonicityNot monotonic
2023-09-29T01:17:25.075168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16 3
 
3.0%
10 2
 
2.0%
1284 1
 
1.0%
2243 1
 
1.0%
1296 1
 
1.0%
1131 1
 
1.0%
1109 1
 
1.0%
1566 1
 
1.0%
1718 1
 
1.0%
1797 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
4 1
 
1.0%
5 1
 
1.0%
10 2
2.0%
16 3
3.0%
33 1
 
1.0%
40 1
 
1.0%
51 1
 
1.0%
88 1
 
1.0%
106 1
 
1.0%
147 1
 
1.0%
ValueCountFrequency (%)
4559 1
1.0%
4543 1
1.0%
4382 1
1.0%
4340 1
1.0%
4205 1
1.0%
4184 1
1.0%
4179 1
1.0%
4119 1
1.0%
4115 1
1.0%
4079 1
1.0%

수성구 여
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2283.0396
Minimum11
Maximum5187
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:25.892417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile58
Q11343
median2189
Q33287
95-th percentile4731
Maximum5187
Range5176
Interquartile range (IQR)1944

Descriptive statistics

Standard deviation1388.6084
Coefficient of variation (CV)0.60822792
Kurtosis-0.73105944
Mean2283.0396
Median Absolute Deviation (MAD)989
Skewness0.13316894
Sum230587
Variance1928233.4
MonotonicityNot monotonic
2023-09-29T01:17:26.973452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1459 2
 
2.0%
35 2
 
2.0%
1204 1
 
1.0%
2547 1
 
1.0%
1812 1
 
1.0%
1605 1
 
1.0%
1200 1
 
1.0%
1948 1
 
1.0%
2012 1
 
1.0%
2123 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
11 1
1.0%
22 1
1.0%
35 2
2.0%
57 1
1.0%
58 1
1.0%
76 1
1.0%
118 1
1.0%
146 1
1.0%
158 1
1.0%
238 1
1.0%
ValueCountFrequency (%)
5187 1
1.0%
5099 1
1.0%
5057 1
1.0%
5000 1
1.0%
4888 1
1.0%
4731 1
1.0%
4560 1
1.0%
4543 1
1.0%
4194 1
1.0%
4173 1
1.0%

달서구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5993.7921
Minimum12
Maximum12290
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:27.751549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile69
Q12683
median6308
Q39186
95-th percentile11396
Maximum12290
Range12278
Interquartile range (IQR)6503

Descriptive statistics

Standard deviation3779.0657
Coefficient of variation (CV)0.63049662
Kurtosis-1.2350051
Mean5993.7921
Median Absolute Deviation (MAD)3201
Skewness-0.18635503
Sum605373
Variance14281337
MonotonicityNot monotonic
2023-09-29T01:17:29.365720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4816 1
 
1.0%
4711 1
 
1.0%
2851 1
 
1.0%
3620 1
 
1.0%
3423 1
 
1.0%
3125 1
 
1.0%
2940 1
 
1.0%
2714 1
 
1.0%
4180 1
 
1.0%
4549 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
12 1
1.0%
16 1
1.0%
25 1
1.0%
41 1
1.0%
62 1
1.0%
69 1
1.0%
92 1
1.0%
142 1
1.0%
168 1
1.0%
195 1
1.0%
ValueCountFrequency (%)
12290 1
1.0%
11939 1
1.0%
11903 1
1.0%
11492 1
1.0%
11487 1
1.0%
11396 1
1.0%
11251 1
1.0%
11249 1
1.0%
10983 1
1.0%
10938 1
1.0%

달서구 남
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2981.7228
Minimum1
Maximum6030
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:30.014639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12
Q11066
median3143
Q34714
95-th percentile5500
Maximum6030
Range6029
Interquartile range (IQR)3648

Descriptive statistics

Standard deviation1946.2569
Coefficient of variation (CV)0.65272898
Kurtosis-1.3564643
Mean2981.7228
Median Absolute Deviation (MAD)1770
Skewness-0.26057161
Sum301154
Variance3787915.8
MonotonicityNot monotonic
2023-09-29T01:17:30.794387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2447 1
 
1.0%
2291 1
 
1.0%
1182 1
 
1.0%
1532 1
 
1.0%
1534 1
 
1.0%
1373 1
 
1.0%
1321 1
 
1.0%
1320 1
 
1.0%
1971 1
 
1.0%
2228 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
1 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
10 1
1.0%
12 1
1.0%
16 1
1.0%
34 1
1.0%
48 1
1.0%
49 1
1.0%
ValueCountFrequency (%)
6030 1
1.0%
5695 1
1.0%
5680 1
1.0%
5662 1
1.0%
5556 1
1.0%
5500 1
1.0%
5456 1
1.0%
5429 1
1.0%
5407 1
1.0%
5320 1
1.0%

달서구 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3012.0693
Minimum8
Maximum6260
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:31.639462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile59
Q11608
median3077
Q34426
95-th percentile5931
Maximum6260
Range6252
Interquartile range (IQR)2818

Descriptive statistics

Standard deviation1853.9757
Coefficient of variation (CV)0.61551561
Kurtosis-1.0509825
Mean3012.0693
Median Absolute Deviation (MAD)1408
Skewness-0.061399408
Sum304219
Variance3437225.8
MonotonicityNot monotonic
2023-09-29T01:17:32.833126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5931 2
 
2.0%
2369 1
 
1.0%
2420 1
 
1.0%
1669 1
 
1.0%
2088 1
 
1.0%
1889 1
 
1.0%
1752 1
 
1.0%
1619 1
 
1.0%
1394 1
 
1.0%
2209 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
8 1
1.0%
15 1
1.0%
20 1
1.0%
35 1
1.0%
46 1
1.0%
59 1
1.0%
80 1
1.0%
108 1
1.0%
119 1
1.0%
147 1
1.0%
ValueCountFrequency (%)
6260 1
1.0%
6244 1
1.0%
6223 1
1.0%
5992 1
1.0%
5940 1
1.0%
5931 2
2.0%
5699 1
1.0%
5698 1
1.0%
5674 1
1.0%
5587 1
1.0%

달성군 계
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1881.7129
Minimum7
Maximum3716
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:33.789359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile25
Q1995
median2013
Q32727
95-th percentile3394
Maximum3716
Range3709
Interquartile range (IQR)1732

Descriptive statistics

Standard deviation1110.9375
Coefficient of variation (CV)0.59038628
Kurtosis-1.067349
Mean1881.7129
Median Absolute Deviation (MAD)991
Skewness-0.27541239
Sum190053
Variance1234182
MonotonicityNot monotonic
2023-09-29T01:17:34.532793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21 2
 
2.0%
1843 1
 
1.0%
2013 1
 
1.0%
1272 1
 
1.0%
1235 1
 
1.0%
1171 1
 
1.0%
1015 1
 
1.0%
932 1
 
1.0%
1326 1
 
1.0%
1539 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
7 1
1.0%
11 1
1.0%
13 1
1.0%
21 2
2.0%
25 1
1.0%
37 1
1.0%
66 1
1.0%
76 1
1.0%
81 1
1.0%
121 1
1.0%
ValueCountFrequency (%)
3716 1
1.0%
3526 1
1.0%
3484 1
1.0%
3464 1
1.0%
3405 1
1.0%
3394 1
1.0%
3384 1
1.0%
3383 1
1.0%
3366 1
1.0%
3332 1
1.0%

달성군 남
Real number (ℝ)

Distinct94
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean961.87129
Minimum2
Maximum1935
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:35.933899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile7
Q1387
median1061
Q31451
95-th percentile1778
Maximum1935
Range1933
Interquartile range (IQR)1064

Descriptive statistics

Standard deviation604.19255
Coefficient of variation (CV)0.62814282
Kurtosis-1.2243038
Mean961.87129
Median Absolute Deviation (MAD)522
Skewness-0.29879526
Sum97149
Variance365048.63
MonotonicityNot monotonic
2023-09-29T01:17:36.800663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1158 2
 
2.0%
3 2
 
2.0%
1061 2
 
2.0%
4 2
 
2.0%
1563 2
 
2.0%
29 2
 
2.0%
1744 2
 
2.0%
783 1
 
1.0%
545 1
 
1.0%
528 1
 
1.0%
Other values (84) 84
83.2%
ValueCountFrequency (%)
2 1
1.0%
3 2
2.0%
4 2
2.0%
7 1
1.0%
8 1
1.0%
15 1
1.0%
18 1
1.0%
19 1
1.0%
29 2
2.0%
42 1
1.0%
ValueCountFrequency (%)
1935 1
1.0%
1829 1
1.0%
1812 1
1.0%
1807 1
1.0%
1803 1
1.0%
1778 1
1.0%
1744 2
2.0%
1736 1
1.0%
1718 1
1.0%
1707 1
1.0%

달성군 여
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean919.84158
Minimum5
Maximum1781
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:37.651052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile21
Q1572
median965
Q31282
95-th percentile1647
Maximum1781
Range1776
Interquartile range (IQR)710

Descriptive statistics

Standard deviation513.38073
Coefficient of variation (CV)0.55811864
Kurtosis-0.87451959
Mean919.84158
Median Absolute Deviation (MAD)393
Skewness-0.23574818
Sum92904
Variance263559.77
MonotonicityNot monotonic
2023-09-29T01:17:38.599142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
944 2
 
2.0%
1182 2
 
2.0%
1585 2
 
2.0%
869 1
 
1.0%
572 1
 
1.0%
645 1
 
1.0%
687 1
 
1.0%
757 1
 
1.0%
690 1
 
1.0%
643 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
5 1
1.0%
8 1
1.0%
10 1
1.0%
14 1
1.0%
17 1
1.0%
21 1
1.0%
29 1
1.0%
48 1
1.0%
57 1
1.0%
66 1
1.0%
ValueCountFrequency (%)
1781 1
1.0%
1746 1
1.0%
1697 1
1.0%
1696 1
1.0%
1677 1
1.0%
1647 1
1.0%
1627 1
1.0%
1623 1
1.0%
1600 1
1.0%
1597 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
00세185749597897761229331930011556144511155865299504834673749197417752488128412044816244723691843974869
11세1958299669616592322270309615561540122263758510124915213899198419152737139413435054259524591970987983
22세2016910327984262032329731841614157012786336451007558449403220841948291014971413507525762499206310421021
33세21882112431063962733429334551784167112996686311003512491433422362098336417141650560528662739219511291066
44세2169711203104946283043243233168315501312668644959499460429622732023351617691747554828542694220511531052
55세206261070099265562902663117164914681099559540903480423401821071911348917911698537727632614206710611006
66세2052010623989750327722629041497140710895535368814554264079207520043816201418025301277025311947982965
77세219441146110483518262256300715321475116559756895049945143432273207043832280210355622957260520161061955
88세22314114141090052028223829551515144011735576169775114664481230521764614240022145635286427711959980979
99세2084810882996650525724825931348124511445935519155054104147213420134471236621055325276725581748912836
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
9191세10502208305615411662913710318851082385143321111984015819548147811566
9292세993224769671948139281119212801062482148221261975114616849119761957
9393세75515959642438117219661124967175010920891513311814234108661848
9494세49488406346287417574283448113775106592167692128037829
9595세39181310291118651352254214463867115674165862164625421
9696세25954205132115319342322128622355304510354163521417
9797세179331461211130426264222021823419321022255201138
9898세1482812090929101915114144101248405351611513310
9999세107169110010242221201281719316154111248725
100100세 이상53411941579176291157683245955144163164773165769105921714