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

Description2018.07.31.기준 주민등록인구 현황
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3077757&dataSetDetailId=307775719f962ce5e408&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
북구 계 has unique valuesUnique
수성구 계 has unique valuesUnique
달서구 계 has unique valuesUnique

Reproduction

Analysis started2023-09-29 01:28:49.591100
Analysis finished2023-09-29 01:28:49.987843
Duration0.4 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
2023-09-29T01:28:50.489075image/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%
2023-09-29T01:28:51.959376image/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%
Mean24443.802
Minimum122
Maximum48035
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:28:52.651838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum122
5-th percentile548
Q114534
median25843
Q335393
95-th percentile44631
Maximum48035
Range47913
Interquartile range (IQR)20859

Descriptive statistics

Standard deviation13871.351
Coefficient of variation (CV)0.56747928
Kurtosis-0.96684705
Mean24443.802
Median Absolute Deviation (MAD)9804
Skewness-0.27916398
Sum2468824
Variance1.9241438 × 108
MonotonicityNot monotonic
2023-09-29T01:28:54.516629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14522 1
 
1.0%
26878 1
 
1.0%
16392 1
 
1.0%
15396 1
 
1.0%
12166 1
 
1.0%
19955 1
 
1.0%
21604 1
 
1.0%
23377 1
 
1.0%
22654 1
 
1.0%
20669 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
122 1
1.0%
183 1
1.0%
232 1
1.0%
379 1
1.0%
525 1
1.0%
548 1
1.0%
612 1
1.0%
869 1
1.0%
1029 1
1.0%
1550 1
1.0%
ValueCountFrequency (%)
48035 1
1.0%
46649 1
1.0%
45550 1
1.0%
45289 1
1.0%
44936 1
1.0%
44631 1
1.0%
43947 1
1.0%
43731 1
1.0%
43480 1
1.0%
42679 1
1.0%

총계 남
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12114.267
Minimum26
Maximum23382
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:28:55.566042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26
5-th percentile111
Q16661
median12823
Q318260
95-th percentile21927
Maximum23382
Range23356
Interquartile range (IQR)11599

Descriptive statistics

Standard deviation7204.0122
Coefficient of variation (CV)0.59467172
Kurtosis-1.122081
Mean12114.267
Median Absolute Deviation (MAD)5912
Skewness-0.34187585
Sum1223541
Variance51897792
MonotonicityNot monotonic
2023-09-29T01:28:56.209551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7420 1
 
1.0%
12823 1
 
1.0%
6911 1
 
1.0%
6661 1
 
1.0%
5567 1
 
1.0%
8954 1
 
1.0%
9900 1
 
1.0%
10667 1
 
1.0%
10777 1
 
1.0%
9619 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
26 1
1.0%
34 1
1.0%
42 1
1.0%
79 1
1.0%
109 1
1.0%
111 1
1.0%
138 1
1.0%
188 1
1.0%
210 1
1.0%
345 1
1.0%
ValueCountFrequency (%)
23382 1
1.0%
22876 1
1.0%
22440 1
1.0%
22341 1
1.0%
22025 1
1.0%
21927 1
1.0%
21514 1
1.0%
21423 1
1.0%
21236 1
1.0%
21049 1
1.0%

총계 여
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12329.535
Minimum96
Maximum24653
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:28:56.837340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum96
5-th percentile439
Q18422
median12188
Q317510
95-th percentile22911
Maximum24653
Range24557
Interquartile range (IQR)9088

Descriptive statistics

Standard deviation6750.3206
Coefficient of variation (CV)0.54749192
Kurtosis-0.80244696
Mean12329.535
Median Absolute Deviation (MAD)4939
Skewness-0.18740131
Sum1245283
Variance45566828
MonotonicityNot monotonic
2023-09-29T01:28:57.513402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7102 1
 
1.0%
14055 1
 
1.0%
9481 1
 
1.0%
8735 1
 
1.0%
6599 1
 
1.0%
11001 1
 
1.0%
11704 1
 
1.0%
12710 1
 
1.0%
11877 1
 
1.0%
11050 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
96 1
1.0%
149 1
1.0%
190 1
1.0%
300 1
1.0%
414 1
1.0%
439 1
1.0%
474 1
1.0%
681 1
1.0%
819 1
1.0%
1205 1
1.0%
ValueCountFrequency (%)
24653 1
1.0%
23773 1
1.0%
23208 1
1.0%
23110 1
1.0%
22948 1
1.0%
22911 1
1.0%
22244 1
1.0%
22217 1
1.0%
22020 1
1.0%
21792 1
1.0%

중구 계
Real number (ℝ)

Distinct96
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean776.10891
Minimum7
Maximum1365
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:28:57.901850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile35
Q1502
median859
Q31150
95-th percentile1266
Maximum1365
Range1358
Interquartile range (IQR)648

Descriptive statistics

Standard deviation406.94434
Coefficient of variation (CV)0.52433922
Kurtosis-1.024323
Mean776.10891
Median Absolute Deviation (MAD)329
Skewness-0.43877481
Sum78387
Variance165603.7
MonotonicityNot monotonic
2023-09-29T01:28:58.467611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1226 2
 
2.0%
543 2
 
2.0%
916 2
 
2.0%
88 2
 
2.0%
1195 2
 
2.0%
986 1
 
1.0%
786 1
 
1.0%
833 1
 
1.0%
859 1
 
1.0%
687 1
 
1.0%
Other values (86) 86
85.1%
ValueCountFrequency (%)
7 1
1.0%
15 1
1.0%
18 1
1.0%
23 1
1.0%
31 1
1.0%
35 1
1.0%
41 1
1.0%
52 1
1.0%
88 2
2.0%
129 1
1.0%
ValueCountFrequency (%)
1365 1
1.0%
1347 1
1.0%
1308 1
1.0%
1307 1
1.0%
1284 1
1.0%
1266 1
1.0%
1262 1
1.0%
1256 1
1.0%
1253 1
1.0%
1242 1
1.0%

중구 남
Real number (ℝ)

Distinct91
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean376.25743
Minimum2
Maximum668
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:28:59.024219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile9
Q1247
median375
Q3568
95-th percentile638
Maximum668
Range666
Interquartile range (IQR)321

Descriptive statistics

Standard deviation211.38461
Coefficient of variation (CV)0.56180847
Kurtosis-1.0933551
Mean376.25743
Median Absolute Deviation (MAD)181
Skewness-0.36917886
Sum38002
Variance44683.453
MonotonicityNot monotonic
2023-09-29T01:28:59.809518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 3
 
3.0%
626 2
 
2.0%
668 2
 
2.0%
2 2
 
2.0%
7 2
 
2.0%
9 2
 
2.0%
544 2
 
2.0%
561 2
 
2.0%
595 2
 
2.0%
403 1
 
1.0%
Other values (81) 81
80.2%
ValueCountFrequency (%)
2 2
2.0%
3 1
 
1.0%
7 2
2.0%
9 2
2.0%
15 3
3.0%
30 1
 
1.0%
40 1
 
1.0%
42 1
 
1.0%
51 1
 
1.0%
66 1
 
1.0%
ValueCountFrequency (%)
668 2
2.0%
657 1
1.0%
651 1
1.0%
650 1
1.0%
638 1
1.0%
637 1
1.0%
628 1
1.0%
626 2
2.0%
625 1
1.0%
623 1
1.0%

중구 여
Real number (ℝ)

Distinct94
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean399.85149
Minimum5
Maximum719
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:29:00.335195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile28
Q1249
median455
Q3572
95-th percentile644
Maximum719
Range714
Interquartile range (IQR)323

Descriptive statistics

Standard deviation199.70039
Coefficient of variation (CV)0.49943642
Kurtosis-0.96712833
Mean399.85149
Median Absolute Deviation (MAD)151
Skewness-0.46702706
Sum40385
Variance39880.248
MonotonicityNot monotonic
2023-09-29T01:29:00.976214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
658 2
 
2.0%
513 2
 
2.0%
644 2
 
2.0%
627 2
 
2.0%
73 2
 
2.0%
594 2
 
2.0%
572 2
 
2.0%
577 1
 
1.0%
420 1
 
1.0%
464 1
 
1.0%
Other values (84) 84
83.2%
ValueCountFrequency (%)
5 1
1.0%
11 1
1.0%
13 1
1.0%
20 1
1.0%
22 1
1.0%
28 1
1.0%
32 1
1.0%
37 1
1.0%
73 2
2.0%
89 1
1.0%
ValueCountFrequency (%)
719 1
1.0%
697 1
1.0%
658 2
2.0%
656 1
1.0%
644 2
2.0%
635 1
1.0%
633 1
1.0%
628 1
1.0%
627 2
2.0%
619 1
1.0%

동구 계
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3485.7327
Minimum26
Maximum6917
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:29:01.502015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26
5-th percentile99
Q12448
median3691
Q35197
95-th percentile5913
Maximum6917
Range6891
Interquartile range (IQR)2749

Descriptive statistics

Standard deviation1880.2316
Coefficient of variation (CV)0.53940786
Kurtosis-0.85461335
Mean3485.7327
Median Absolute Deviation (MAD)1465
Skewness-0.3981436
Sum352059
Variance3535270.9
MonotonicityNot monotonic
2023-09-29T01:29:02.193212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4037 2
 
2.0%
5656 2
 
2.0%
5590 2
 
2.0%
2226 1
 
1.0%
4526 1
 
1.0%
2830 1
 
1.0%
2741 1
 
1.0%
2139 1
 
1.0%
3395 1
 
1.0%
3715 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
26 1
1.0%
31 1
1.0%
35 1
1.0%
71 1
1.0%
74 1
1.0%
99 1
1.0%
107 1
1.0%
143 1
1.0%
164 1
1.0%
262 1
1.0%
ValueCountFrequency (%)
6917 1
1.0%
6530 1
1.0%
6080 1
1.0%
6040 1
1.0%
5930 1
1.0%
5913 1
1.0%
5820 1
1.0%
5819 1
1.0%
5751 1
1.0%
5676 1
1.0%

동구 남
Real number (ℝ)

Distinct97
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1727.3168
Minimum7
Maximum3278
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:29:02.868953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile15
Q11153
median1840
Q32601
95-th percentile2933
Maximum3278
Range3271
Interquartile range (IQR)1448

Descriptive statistics

Standard deviation977.20093
Coefficient of variation (CV)0.56573346
Kurtosis-1.0061211
Mean1727.3168
Median Absolute Deviation (MAD)761
Skewness-0.45164379
Sum174459
Variance954921.66
MonotonicityNot monotonic
2023-09-29T01:29:04.028000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2906 2
 
2.0%
2386 2
 
2.0%
11 2
 
2.0%
2607 2
 
2.0%
1153 1
 
1.0%
1336 1
 
1.0%
1214 1
 
1.0%
1161 1
 
1.0%
985 1
 
1.0%
1504 1
 
1.0%
Other values (87) 87
86.1%
ValueCountFrequency (%)
7 1
1.0%
8 1
1.0%
11 2
2.0%
13 1
1.0%
15 1
1.0%
23 1
1.0%
26 1
1.0%
36 1
1.0%
58 1
1.0%
89 1
1.0%
ValueCountFrequency (%)
3278 1
1.0%
3048 1
1.0%
3009 1
1.0%
2973 1
1.0%
2969 1
1.0%
2933 1
1.0%
2922 1
1.0%
2907 1
1.0%
2906 2
2.0%
2860 1
1.0%

동구 여
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1758.4158
Minimum19
Maximum3639
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:29:05.084211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile84
Q11242
median1822
Q32511
95-th percentile2997
Maximum3639
Range3620
Interquartile range (IQR)1269

Descriptive statistics

Standard deviation921.19898
Coefficient of variation (CV)0.52388005
Kurtosis-0.69764025
Mean1758.4158
Median Absolute Deviation (MAD)641
Skewness-0.28337667
Sum177600
Variance848607.57
MonotonicityNot monotonic
2023-09-29T01:29:06.260828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2683 2
 
2.0%
2173 2
 
2.0%
1073 1
 
1.0%
2401 1
 
1.0%
1616 1
 
1.0%
1580 1
 
1.0%
1154 1
 
1.0%
1891 1
 
1.0%
1999 1
 
1.0%
2088 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
19 1
1.0%
20 1
1.0%
27 1
1.0%
59 1
1.0%
60 1
1.0%
84 1
1.0%
86 1
1.0%
117 1
1.0%
128 1
1.0%
204 1
1.0%
ValueCountFrequency (%)
3639 1
1.0%
3482 1
1.0%
3174 1
1.0%
3118 1
1.0%
3028 1
1.0%
2997 1
1.0%
2959 1
1.0%
2916 1
1.0%
2906 1
1.0%
2904 1
1.0%

서구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1862.4455
Minimum9
Maximum4515
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:29:07.705741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile53
Q11007
median1962
Q32722
95-th percentile3716
Maximum4515
Range4506
Interquartile range (IQR)1715

Descriptive statistics

Standard deviation1164.971
Coefficient of variation (CV)0.62550607
Kurtosis-0.86551463
Mean1862.4455
Median Absolute Deviation (MAD)911
Skewness0.12548309
Sum188107
Variance1357157.4
MonotonicityNot monotonic
2023-09-29T01:29:08.698388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
710 1
 
1.0%
2740 1
 
1.0%
1713 1
 
1.0%
1549 1
 
1.0%
1175 1
 
1.0%
2024 1
 
1.0%
2217 1
 
1.0%
2475 1
 
1.0%
2333 1
 
1.0%
2070 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
9 1
1.0%
14 1
1.0%
17 1
1.0%
30 1
1.0%
47 1
1.0%
53 1
1.0%
71 1
1.0%
90 1
1.0%
91 1
1.0%
134 1
1.0%
ValueCountFrequency (%)
4515 1
1.0%
4288 1
1.0%
3942 1
1.0%
3930 1
1.0%
3871 1
1.0%
3716 1
1.0%
3692 1
1.0%
3584 1
1.0%
3518 1
1.0%
3455 1
1.0%

서구 남
Real number (ℝ)

Distinct95
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean938.49505
Minimum2
Maximum2208
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:29:10.002945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile7
Q1490
median1015
Q31399
95-th percentile1855
Maximum2208
Range2206
Interquartile range (IQR)909

Descriptive statistics

Standard deviation609.63503
Coefficient of variation (CV)0.6495879
Kurtosis-1.123165
Mean938.49505
Median Absolute Deviation (MAD)502
Skewness-0.00030413936
Sum94788
Variance371654.87
MonotonicityNot monotonic
2023-09-29T01:29:10.549840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1338 2
 
2.0%
1628 2
 
2.0%
7 2
 
2.0%
547 2
 
2.0%
20 2
 
2.0%
1258 2
 
2.0%
958 1
 
1.0%
812 1
 
1.0%
713 1
 
1.0%
699 1
 
1.0%
Other values (85) 85
84.2%
ValueCountFrequency (%)
2 1
1.0%
3 1
1.0%
4 1
1.0%
6 1
1.0%
7 2
2.0%
11 1
1.0%
20 2
2.0%
22 1
1.0%
37 1
1.0%
47 1
1.0%
ValueCountFrequency (%)
2208 1
1.0%
2049 1
1.0%
1987 1
1.0%
1954 1
1.0%
1906 1
1.0%
1855 1
1.0%
1850 1
1.0%
1841 1
1.0%
1798 1
1.0%
1725 1
1.0%

서구 여
Real number (ℝ)

Distinct97
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean923.9505
Minimum6
Maximum2307
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:29:11.221565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile47
Q1504
median912
Q31220
95-th percentile1842
Maximum2307
Range2301
Interquartile range (IQR)716

Descriptive statistics

Standard deviation568.5588
Coefficient of variation (CV)0.61535634
Kurtosis-0.58799536
Mean923.9505
Median Absolute Deviation (MAD)401
Skewness0.30359476
Sum93319
Variance323259.11
MonotonicityNot monotonic
2023-09-29T01:29:11.926535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1693 2
 
2.0%
874 2
 
2.0%
452 2
 
2.0%
1000 2
 
2.0%
1461 1
 
1.0%
850 1
 
1.0%
647 1
 
1.0%
1141 1
 
1.0%
1202 1
 
1.0%
1324 1
 
1.0%
Other values (87) 87
86.1%
ValueCountFrequency (%)
6 1
1.0%
12 1
1.0%
13 1
1.0%
23 1
1.0%
40 1
1.0%
47 1
1.0%
60 1
1.0%
68 1
1.0%
71 1
1.0%
114 1
1.0%
ValueCountFrequency (%)
2307 1
1.0%
2239 1
1.0%
2016 1
1.0%
1976 1
1.0%
1955 1
1.0%
1842 1
1.0%
1810 1
1.0%
1785 1
1.0%
1777 1
1.0%
1773 1
1.0%

남구 계
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1504.0693
Minimum11
Maximum3160
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:29:12.679802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile59
Q1840
median1709
Q32154
95-th percentile2653
Maximum3160
Range3149
Interquartile range (IQR)1314

Descriptive statistics

Standard deviation845.49682
Coefficient of variation (CV)0.56213953
Kurtosis-1.0561794
Mean1504.0693
Median Absolute Deviation (MAD)717
Skewness-0.20964432
Sum151911
Variance714864.87
MonotonicityNot monotonic
2023-09-29T01:29:13.664315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1926 2
 
2.0%
1709 2
 
2.0%
604 1
 
1.0%
1385 1
 
1.0%
1674 1
 
1.0%
1460 1
 
1.0%
1322 1
 
1.0%
1107 1
 
1.0%
1835 1
 
1.0%
1857 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
11 1
1.0%
22 1
1.0%
28 1
1.0%
30 1
1.0%
55 1
1.0%
59 1
1.0%
72 1
1.0%
73 1
1.0%
108 1
1.0%
150 1
1.0%
ValueCountFrequency (%)
3160 1
1.0%
3020 1
1.0%
2841 1
1.0%
2710 1
1.0%
2707 1
1.0%
2653 1
1.0%
2648 1
1.0%
2604 1
1.0%
2549 1
1.0%
2548 1
1.0%

남구 남
Real number (ℝ)

Distinct96
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean727.84158
Minimum2
Maximum1487
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:29:14.334790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile15
Q1397
median808
Q31078
95-th percentile1312
Maximum1487
Range1485
Interquartile range (IQR)681

Descriptive statistics

Standard deviation427.54328
Coefficient of variation (CV)0.58741255
Kurtosis-1.1830561
Mean727.84158
Median Absolute Deviation (MAD)353
Skewness-0.24542765
Sum73512
Variance182793.25
MonotonicityNot monotonic
2023-09-29T01:29:15.112500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
394 2
 
2.0%
950 2
 
2.0%
18 2
 
2.0%
808 2
 
2.0%
741 2
 
2.0%
293 1
 
1.0%
1039 1
 
1.0%
716 1
 
1.0%
605 1
 
1.0%
550 1
 
1.0%
Other values (86) 86
85.1%
ValueCountFrequency (%)
2 1
1.0%
3 1
1.0%
5 1
1.0%
7 1
1.0%
8 1
1.0%
15 1
1.0%
17 1
1.0%
18 2
2.0%
38 1
1.0%
65 1
1.0%
ValueCountFrequency (%)
1487 1
1.0%
1385 1
1.0%
1339 1
1.0%
1318 1
1.0%
1315 1
1.0%
1312 1
1.0%
1304 1
1.0%
1280 1
1.0%
1271 1
1.0%
1250 1
1.0%

남구 여
Real number (ℝ)

Distinct96
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean776.22772
Minimum9
Maximum1673
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:29:16.247951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile47
Q1399
median855
Q31056
95-th percentile1390
Maximum1673
Range1664
Interquartile range (IQR)657

Descriptive statistics

Standard deviation427.70642
Coefficient of variation (CV)0.55100636
Kurtosis-0.91456549
Mean776.22772
Median Absolute Deviation (MAD)362
Skewness-0.12051576
Sum78399
Variance182932.78
MonotonicityNot monotonic
2023-09-29T01:29:17.164128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
392 2
 
2.0%
23 2
 
2.0%
812 2
 
2.0%
55 2
 
2.0%
1047 2
 
2.0%
311 1
 
1.0%
1282 1
 
1.0%
628 1
 
1.0%
1018 1
 
1.0%
1049 1
 
1.0%
Other values (86) 86
85.1%
ValueCountFrequency (%)
9 1
1.0%
19 1
1.0%
23 2
2.0%
44 1
1.0%
47 1
1.0%
55 2
2.0%
90 1
1.0%
112 1
1.0%
135 1
1.0%
194 1
1.0%
ValueCountFrequency (%)
1673 1
1.0%
1635 1
1.0%
1570 1
1.0%
1412 1
1.0%
1395 1
1.0%
1390 1
1.0%
1368 1
1.0%
1354 1
1.0%
1349 1
1.0%
1321 1
1.0%

북구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4354.495
Minimum19
Maximum8729
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:29:17.895293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile72
Q12503
median4373
Q36530
95-th percentile8351
Maximum8729
Range8710
Interquartile range (IQR)4027

Descriptive statistics

Standard deviation2564.9557
Coefficient of variation (CV)0.58903631
Kurtosis-1.0081166
Mean4354.495
Median Absolute Deviation (MAD)2076
Skewness-0.21926624
Sum439804
Variance6578997.7
MonotonicityNot monotonic
2023-09-29T01:29:18.737785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2780 1
 
1.0%
4373 1
 
1.0%
2572 1
 
1.0%
2503 1
 
1.0%
1901 1
 
1.0%
3081 1
 
1.0%
3436 1
 
1.0%
3732 1
 
1.0%
3496 1
 
1.0%
3255 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
19 1
1.0%
32 1
1.0%
45 1
1.0%
48 1
1.0%
67 1
1.0%
72 1
1.0%
93 1
1.0%
124 1
1.0%
148 1
1.0%
226 1
1.0%
ValueCountFrequency (%)
8729 1
1.0%
8621 1
1.0%
8415 1
1.0%
8371 1
1.0%
8359 1
1.0%
8351 1
1.0%
8172 1
1.0%
8043 1
1.0%
7812 1
1.0%
7762 1
1.0%

북구 남
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2173.8218
Minimum3
Maximum4325
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:29:19.623474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile15
Q11031
median2208
Q33312
95-th percentile4099
Maximum4325
Range4322
Interquartile range (IQR)2281

Descriptive statistics

Standard deviation1344.4445
Coefficient of variation (CV)0.61847042
Kurtosis-1.1749224
Mean2173.8218
Median Absolute Deviation (MAD)1136
Skewness-0.27045684
Sum219556
Variance1807530.9
MonotonicityNot monotonic
2023-09-29T01:29:20.368677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 2
 
2.0%
2156 2
 
2.0%
1414 1
 
1.0%
2159 1
 
1.0%
1031 1
 
1.0%
1044 1
 
1.0%
855 1
 
1.0%
1382 1
 
1.0%
1529 1
 
1.0%
1689 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
3 1
1.0%
4 1
1.0%
7 1
1.0%
12 2
2.0%
15 1
1.0%
16 1
1.0%
26 1
1.0%
30 1
1.0%
53 1
1.0%
56 1
1.0%
ValueCountFrequency (%)
4325 1
1.0%
4241 1
1.0%
4180 1
1.0%
4146 1
1.0%
4105 1
1.0%
4099 1
1.0%
4081 1
1.0%
3917 1
1.0%
3913 1
1.0%
3907 1
1.0%

북구 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2180.6733
Minimum15
Maximum4404
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:29:21.127024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile57
Q11370
median2191
Q33166
95-th percentile4213
Maximum4404
Range4389
Interquartile range (IQR)1796

Descriptive statistics

Standard deviation1234.4739
Coefficient of variation (CV)0.56609761
Kurtosis-0.80982191
Mean2180.6733
Median Absolute Deviation (MAD)853
Skewness-0.13502529
Sum220248
Variance1523925.9
MonotonicityNot monotonic
2023-09-29T01:29:21.892313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3166 2
 
2.0%
1366 1
 
1.0%
1370 1
 
1.0%
1643 1
 
1.0%
1541 1
 
1.0%
1459 1
 
1.0%
1046 1
 
1.0%
1699 1
 
1.0%
1907 1
 
1.0%
2043 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
15 1
1.0%
29 1
1.0%
36 1
1.0%
38 1
1.0%
51 1
1.0%
57 1
1.0%
81 1
1.0%
94 1
1.0%
122 1
1.0%
173 1
1.0%
ValueCountFrequency (%)
4404 1
1.0%
4380 1
1.0%
4290 1
1.0%
4252 1
1.0%
4235 1
1.0%
4213 1
1.0%
4136 1
1.0%
4067 1
1.0%
3895 1
1.0%
3849 1
1.0%

수성구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4307.7327
Minimum18
Maximum9219
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:29:22.344892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile94
Q12243
median4363
Q36261
95-th percentile8600
Maximum9219
Range9201
Interquartile range (IQR)4018

Descriptive statistics

Standard deviation2564.0157
Coefficient of variation (CV)0.59521236
Kurtosis-0.93564085
Mean4307.7327
Median Absolute Deviation (MAD)2027
Skewness-0.066573452
Sum435081
Variance6574176.7
MonotonicityNot monotonic
2023-09-29T01:29:23.103512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1793 1
 
1.0%
4363 1
 
1.0%
2773 1
 
1.0%
2538 1
 
1.0%
1991 1
 
1.0%
3327 1
 
1.0%
3533 1
 
1.0%
3680 1
 
1.0%
3754 1
 
1.0%
3318 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
18 1
1.0%
30 1
1.0%
39 1
1.0%
77 1
1.0%
80 1
1.0%
94 1
1.0%
102 1
1.0%
173 1
1.0%
215 1
1.0%
287 1
1.0%
ValueCountFrequency (%)
9219 1
1.0%
9051 1
1.0%
8975 1
1.0%
8831 1
1.0%
8721 1
1.0%
8600 1
1.0%
8125 1
1.0%
7970 1
1.0%
7685 1
1.0%
7600 1
1.0%

수성구 남
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2095.6931
Minimum4
Maximum4378
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:29:23.703169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile24
Q11033
median2151
Q33197
95-th percentile3907
Maximum4378
Range4374
Interquartile range (IQR)2164

Descriptive statistics

Standard deviation1294.1565
Coefficient of variation (CV)0.61753153
Kurtosis-1.1210823
Mean2095.6931
Median Absolute Deviation (MAD)1094
Skewness-0.14766618
Sum211665
Variance1674841.2
MonotonicityNot monotonic
2023-09-29T01:29:24.747909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 2
 
2.0%
921 1
 
1.0%
2561 1
 
1.0%
1115 1
 
1.0%
932 1
 
1.0%
1459 1
 
1.0%
1585 1
 
1.0%
1625 1
 
1.0%
1781 1
 
1.0%
1520 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
4 2
2.0%
6 1
1.0%
18 1
1.0%
22 1
1.0%
24 1
1.0%
26 1
1.0%
38 1
1.0%
50 1
1.0%
76 1
1.0%
88 1
1.0%
ValueCountFrequency (%)
4378 1
1.0%
4282 1
1.0%
4226 1
1.0%
4196 1
1.0%
4094 1
1.0%
3907 1
1.0%
3845 1
1.0%
3844 1
1.0%
3770 1
1.0%
3754 1
1.0%

수성구 여
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2212.0396
Minimum14
Maximum4937
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:29:26.191350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile70
Q11262
median2203
Q33115
95-th percentile4570
Maximum4937
Range4923
Interquartile range (IQR)1853

Descriptive statistics

Standard deviation1295.0312
Coefficient of variation (CV)0.58544666
Kurtosis-0.67443746
Mean2212.0396
Median Absolute Deviation (MAD)915
Skewness0.093067706
Sum223416
Variance1677105.8
MonotonicityNot monotonic
2023-09-29T01:29:27.163585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1868 2
 
2.0%
2596 2
 
2.0%
872 1
 
1.0%
1447 1
 
1.0%
1774 1
 
1.0%
1565 1
 
1.0%
1423 1
 
1.0%
1059 1
 
1.0%
1948 1
 
1.0%
2055 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
14 1
1.0%
26 1
1.0%
33 1
1.0%
58 1
1.0%
59 1
1.0%
70 1
1.0%
76 1
1.0%
135 1
1.0%
165 1
1.0%
211 1
1.0%
ValueCountFrequency (%)
4937 1
1.0%
4779 1
1.0%
4755 1
1.0%
4737 1
1.0%
4673 1
1.0%
4570 1
1.0%
4495 1
1.0%
4092 1
1.0%
4063 1
1.0%
3933 1
1.0%

달서구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5693.6436
Minimum20
Maximum11706
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:29:29.178963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile93
Q12895
median5876
Q38470
95-th percentile10756
Maximum11706
Range11686
Interquartile range (IQR)5575

Descriptive statistics

Standard deviation3466.503
Coefficient of variation (CV)0.60883738
Kurtosis-1.1086153
Mean5693.6436
Median Absolute Deviation (MAD)2710
Skewness-0.15929008
Sum575058
Variance12016643
MonotonicityNot monotonic
2023-09-29T01:29:30.500656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3166 1
 
1.0%
5762 1
 
1.0%
3001 1
 
1.0%
2895 1
 
1.0%
2309 1
 
1.0%
3966 1
 
1.0%
4238 1
 
1.0%
4639 1
 
1.0%
4504 1
 
1.0%
4326 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
20 1
1.0%
23 1
1.0%
39 1
1.0%
65 1
1.0%
68 1
1.0%
93 1
1.0%
101 1
1.0%
154 1
1.0%
185 1
1.0%
255 1
1.0%
ValueCountFrequency (%)
11706 1
1.0%
11569 1
1.0%
11187 1
1.0%
11015 1
1.0%
10962 1
1.0%
10756 1
1.0%
10706 1
1.0%
10564 1
1.0%
10535 1
1.0%
10527 1
1.0%

달서구 남
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2823.4059
Minimum2
Maximum5737
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:29:31.316075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile23
Q11266
median2872
Q34263
95-th percentile5284
Maximum5737
Range5735
Interquartile range (IQR)2997

Descriptive statistics

Standard deviation1777.358
Coefficient of variation (CV)0.6295085
Kurtosis-1.2402357
Mean2823.4059
Median Absolute Deviation (MAD)1525
Skewness-0.25376225
Sum285164
Variance3159001.6
MonotonicityNot monotonic
2023-09-29T01:29:31.941872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2168 2
 
2.0%
2653 2
 
2.0%
1660 1
 
1.0%
2813 1
 
1.0%
1437 1
 
1.0%
1274 1
 
1.0%
1266 1
 
1.0%
1076 1
 
1.0%
1850 1
 
1.0%
2009 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
2 1
1.0%
4 1
1.0%
7 1
1.0%
12 1
1.0%
13 1
1.0%
23 1
1.0%
26 1
1.0%
31 1
1.0%
36 1
1.0%
60 1
1.0%
ValueCountFrequency (%)
5737 1
1.0%
5533 1
1.0%
5462 1
1.0%
5367 1
1.0%
5310 1
1.0%
5284 1
1.0%
5145 1
1.0%
5047 1
1.0%
5043 1
1.0%
5021 1
1.0%

달서구 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2870.2376
Minimum13
Maximum6036
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:29:32.529597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile70
Q11591
median2880
Q34048
95-th percentile5561
Maximum6036
Range6023
Interquartile range (IQR)2457

Descriptive statistics

Standard deviation1709.3542
Coefficient of variation (CV)0.59554448
Kurtosis-0.92982601
Mean2870.2376
Median Absolute Deviation (MAD)1289
Skewness-0.0225669
Sum289894
Variance2921891.7
MonotonicityNot monotonic
2023-09-29T01:29:33.334608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4029 2
 
2.0%
1506 1
 
1.0%
1591 1
 
1.0%
1897 1
 
1.0%
1727 1
 
1.0%
1629 1
 
1.0%
1233 1
 
1.0%
2116 1
 
1.0%
2229 1
 
1.0%
2471 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
13 1
1.0%
21 1
1.0%
35 1
1.0%
53 1
1.0%
55 1
1.0%
70 1
1.0%
75 1
1.0%
123 1
1.0%
149 1
1.0%
195 1
1.0%
ValueCountFrequency (%)
6036 1
1.0%
5969 1
1.0%
5820 1
1.0%
5731 1
1.0%
5652 1
1.0%
5561 1
1.0%
5521 1
1.0%
5506 1
1.0%
5488 1
1.0%
5405 1
1.0%

달성군 계
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2459.5743
Minimum9
Maximum5206
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:29:33.692601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile35
Q11161
median2777
Q33797
95-th percentile4354
Maximum5206
Range5197
Interquartile range (IQR)2636

Descriptive statistics

Standard deviation1463.9268
Coefficient of variation (CV)0.59519521
Kurtosis-1.0267639
Mean2459.5743
Median Absolute Deviation (MAD)1112
Skewness-0.25071618
Sum248417
Variance2143081.7
MonotonicityNot monotonic
2023-09-29T01:29:33.953939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35 2
 
2.0%
2728 1
 
1.0%
2777 1
 
1.0%
1161 1
 
1.0%
956 1
 
1.0%
1458 1
 
1.0%
1692 1
 
1.0%
1854 1
 
1.0%
1833 1
 
1.0%
1701 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
9 1
1.0%
12 1
1.0%
18 1
1.0%
26 1
1.0%
35 2
2.0%
44 1
1.0%
69 1
1.0%
87 1
1.0%
148 1
1.0%
174 1
1.0%
ValueCountFrequency (%)
5206 1
1.0%
5142 1
1.0%
5076 1
1.0%
4898 1
1.0%
4453 1
1.0%
4354 1
1.0%
4224 1
1.0%
4184 1
1.0%
4180 1
1.0%
4162 1
1.0%

달성군 남
Real number (ℝ)

Distinct97
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1251.4356
Minimum0
Maximum2744
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:29:34.339500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q1491
median1397
Q31892
95-th percentile2222
Maximum2744
Range2744
Interquartile range (IQR)1401

Descriptive statistics

Standard deviation784.10882
Coefficient of variation (CV)0.62656744
Kurtosis-1.1248634
Mean1251.4356
Median Absolute Deviation (MAD)608
Skewness-0.28029816
Sum126395
Variance614826.65
MonotonicityNot monotonic
2023-09-29T01:29:34.733316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1652 2
 
2.0%
1721 2
 
2.0%
1368 2
 
2.0%
835 2
 
2.0%
1369 1
 
1.0%
1115 1
 
1.0%
491 1
 
1.0%
571 1
 
1.0%
504 1
 
1.0%
541 1
 
1.0%
Other values (87) 87
86.1%
ValueCountFrequency (%)
0 1
1.0%
2 1
1.0%
3 1
1.0%
6 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
15 1
1.0%
19 1
1.0%
25 1
1.0%
ValueCountFrequency (%)
2744 1
1.0%
2665 1
1.0%
2602 1
1.0%
2444 1
1.0%
2288 1
1.0%
2222 1
1.0%
2208 1
1.0%
2197 1
1.0%
2193 1
1.0%
2146 1
1.0%

달성군 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1208.1386
Minimum7
Maximum2477
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:29:35.117105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile29
Q1684
median1258
Q31771
95-th percentile2161
Maximum2477
Range2470
Interquartile range (IQR)1087

Descriptive statistics

Standard deviation685.65665
Coefficient of variation (CV)0.56753144
Kurtosis-0.9019793
Mean1208.1386
Median Absolute Deviation (MAD)574
Skewness-0.20713942
Sum122022
Variance470125.04
MonotonicityNot monotonic
2023-09-29T01:29:35.475310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1193 2
 
2.0%
1359 1
 
1.0%
719 1
 
1.0%
774 1
 
1.0%
680 1
 
1.0%
620 1
 
1.0%
491 1
 
1.0%
772 1
 
1.0%
857 1
 
1.0%
941 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
7 1
1.0%
12 1
1.0%
15 1
1.0%
18 1
1.0%
26 1
1.0%
29 1
1.0%
34 1
1.0%
54 1
1.0%
68 1
1.0%
123 1
1.0%
ValueCountFrequency (%)
2477 1
1.0%
2474 1
1.0%
2462 1
1.0%
2454 1
1.0%
2165 1
1.0%
2161 1
1.0%
2124 1
1.0%
2083 1
1.0%
2059 1
1.0%
2018 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
00세14522742071025152662492226115310737103443666042933112780141413661793921872316616601506272813691359
11세1729788758422584313271275514111344858430428687353334331616691647223211481084381420241790305115271524
22세19341986994726062943122993146515281026539487777394383367118541817263113961235435122752076328616521634
33세20117102539864647321326312616271499935496439784397387383419721862288014211459466823762292324316431600
44세198501007397775432802632961151814431007503504793401392379119191872309516011494457423182256308615331553
55세2111710884102336073122953125162015051097548549829437392399820551943351317881725481624722344313216521480
66세2204111226108155703192513155164115141056535521863448415411420952019387319781895526726152652314315951548
77세2216611438107285903002903058158414741070547523841443398409821561942418721482039533827452593298415151469
88세20466105899877492261231286114941367913461452772394378378319561827394320391904507926162463262313681255
99세2085010811100394872642232788145313351004513491851428423390419831921426722262041503326532380251612911225
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
9191세1550345120588157326258204134201141503811222653173287762112556019514825123
9292세1029210819521537143261179120711081890148261222155016518536149871968
9393세869188681419321643612871116073185512430941733813515431123691554
9494세5481094393192299138653647558477215571022676101267535629
9595세5251114143572874155947740591544931281802258932370441034
9696세3797930023320711160307233072348123677185965125335926
9797세2324219015213311120174132852345738396333943518315
9898세183341491871135827142122231932329304262071312012
9999세1222696725267199361129194151841423221927
100100세 이상612138474881573107238490226872175567165194247068135526818