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

Description2018.1.31.기준 주민등록인구 현황
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3077757&dataSetDetailId=3077757198e287b496f8&provdMethod=FILE

Alerts

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

Reproduction

Analysis started2023-12-10 18:57:53.273446
Analysis finished2023-12-10 18:57:53.568101
Duration0.29 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Text

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
2023-12-11T03:57:53.936339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length2.9405941
Min length2

Characters and Unicode

Total characters297
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique101 ?
Unique (%)100.0%

Sample

1st row0세
2nd row1세
3rd row2세
4th row3세
5th row4세
ValueCountFrequency (%)
0세 1
 
1.0%
52세 1
 
1.0%
74세 1
 
1.0%
73세 1
 
1.0%
72세 1
 
1.0%
71세 1
 
1.0%
70세 1
 
1.0%
69세 1
 
1.0%
68세 1
 
1.0%
67세 1
 
1.0%
Other values (92) 92
90.2%
2023-12-11T03:57:54.662066image/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)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24498.109
Minimum95
Maximum47044
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:57:54.966796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum95
5-th percentile607
Q115222
median24814
Q335677
95-th percentile45226
Maximum47044
Range46949
Interquartile range (IQR)20455

Descriptive statistics

Standard deviation13983.037
Coefficient of variation (CV)0.57078026
Kurtosis-0.98937766
Mean24498.109
Median Absolute Deviation (MAD)10863
Skewness-0.27885786
Sum2474309
Variance1.9552533 × 108
MonotonicityNot monotonic
2023-12-11T03:57:55.193726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31881 2
 
2.0%
15222 1
 
1.0%
13506 1
 
1.0%
19138 1
 
1.0%
16559 1
 
1.0%
15952 1
 
1.0%
13334 1
 
1.0%
16088 1
 
1.0%
21687 1
 
1.0%
22760 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
95 1
1.0%
176 1
1.0%
237 1
1.0%
339 1
1.0%
472 1
1.0%
607 1
1.0%
618 1
1.0%
765 1
1.0%
1108 1
1.0%
1372 1
1.0%
ValueCountFrequency (%)
47044 1
1.0%
45685 1
1.0%
45478 1
1.0%
45422 1
1.0%
45356 1
1.0%
45226 1
1.0%
44913 1
1.0%
44368 1
1.0%
43975 1
1.0%
43431 1
1.0%

총계 남
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12150.267
Minimum24
Maximum23272
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:57:55.412456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile130
Q16607
median12854
Q318417
95-th percentile21983
Maximum23272
Range23248
Interquartile range (IQR)11810

Descriptive statistics

Standard deviation7265.7357
Coefficient of variation (CV)0.59798978
Kurtosis-1.1415082
Mean12150.267
Median Absolute Deviation (MAD)5771
Skewness-0.34039205
Sum1227177
Variance52790915
MonotonicityNot monotonic
2023-12-11T03:57:55.676243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7810 1
 
1.0%
12607 1
 
1.0%
7025 1
 
1.0%
6932 1
 
1.0%
5931 1
 
1.0%
7316 1
 
1.0%
9874 1
 
1.0%
10394 1
 
1.0%
10802 1
 
1.0%
10388 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
24 1
1.0%
30 1
1.0%
49 1
1.0%
63 1
1.0%
92 1
1.0%
130 1
1.0%
138 1
1.0%
165 1
1.0%
247 1
1.0%
299 1
1.0%
ValueCountFrequency (%)
23272 1
1.0%
22493 1
1.0%
22390 1
1.0%
22387 1
1.0%
22110 1
1.0%
21983 1
1.0%
21969 1
1.0%
21730 1
1.0%
21669 1
1.0%
21013 1
1.0%

총계 여
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12347.842
Minimum71
Maximum23772
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:57:55.939727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum71
5-th percentile477
Q18328
median12366
Q317807
95-th percentile23088
Maximum23772
Range23701
Interquartile range (IQR)9479

Descriptive statistics

Standard deviation6801.5361
Coefficient of variation (CV)0.55082794
Kurtosis-0.82517127
Mean12347.842
Median Absolute Deviation (MAD)4954
Skewness-0.18601861
Sum1247132
Variance46260893
MonotonicityNot monotonic
2023-12-11T03:57:56.156740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7412 1
 
1.0%
14179 1
 
1.0%
9534 1
 
1.0%
9020 1
 
1.0%
7403 1
 
1.0%
8772 1
 
1.0%
11813 1
 
1.0%
12366 1
 
1.0%
12297 1
 
1.0%
11575 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
71 1
1.0%
146 1
1.0%
188 1
1.0%
276 1
1.0%
380 1
1.0%
477 1
1.0%
480 1
1.0%
600 1
1.0%
861 1
1.0%
1073 1
1.0%
ValueCountFrequency (%)
23772 1
1.0%
23312 1
1.0%
23243 1
1.0%
23192 1
1.0%
23183 1
1.0%
23088 1
1.0%
22969 1
1.0%
22552 1
1.0%
22399 1
1.0%
22306 1
1.0%

중구 계
Real number (ℝ)

Distinct95
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean783.64356
Minimum6
Maximum1348
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:57:56.375621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile39
Q1501
median858
Q31159
95-th percentile1299
Maximum1348
Range1342
Interquartile range (IQR)658

Descriptive statistics

Standard deviation411.59132
Coefficient of variation (CV)0.52522771
Kurtosis-1.0229862
Mean783.64356
Median Absolute Deviation (MAD)329
Skewness-0.44139714
Sum79148
Variance169407.41
MonotonicityNot monotonic
2023-12-11T03:57:56.600893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
529 3
 
3.0%
1220 3
 
3.0%
643 2
 
2.0%
1233 2
 
2.0%
521 1
 
1.0%
879 1
 
1.0%
883 1
 
1.0%
788 1
 
1.0%
785 1
 
1.0%
728 1
 
1.0%
Other values (85) 85
84.2%
ValueCountFrequency (%)
6 1
1.0%
10 1
1.0%
20 1
1.0%
22 1
1.0%
23 1
1.0%
39 1
1.0%
42 1
1.0%
47 1
1.0%
84 1
1.0%
86 1
1.0%
ValueCountFrequency (%)
1348 1
1.0%
1337 1
1.0%
1323 1
1.0%
1321 1
1.0%
1312 1
1.0%
1299 1
1.0%
1280 1
1.0%
1276 1
1.0%
1260 1
1.0%
1258 1
1.0%

중구 남
Real number (ℝ)

Distinct95
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean380.67327
Minimum1
Maximum692
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:57:56.874169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9
Q1244
median384
Q3570
95-th percentile655
Maximum692
Range691
Interquartile range (IQR)326

Descriptive statistics

Standard deviation214.26055
Coefficient of variation (CV)0.56284632
Kurtosis-1.0999842
Mean380.67327
Median Absolute Deviation (MAD)180
Skewness-0.37312426
Sum38448
Variance45907.582
MonotonicityNot monotonic
2023-12-11T03:57:57.100450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
266 3
 
3.0%
612 2
 
2.0%
316 2
 
2.0%
1 2
 
2.0%
564 2
 
2.0%
461 1
 
1.0%
323 1
 
1.0%
271 1
 
1.0%
410 1
 
1.0%
411 1
 
1.0%
Other values (85) 85
84.2%
ValueCountFrequency (%)
1 2
2.0%
3 1
1.0%
4 1
1.0%
6 1
1.0%
9 1
1.0%
11 1
1.0%
12 1
1.0%
16 1
1.0%
17 1
1.0%
35 1
1.0%
ValueCountFrequency (%)
692 1
1.0%
670 1
1.0%
664 1
1.0%
662 1
1.0%
659 1
1.0%
655 1
1.0%
642 1
1.0%
636 1
1.0%
635 1
1.0%
634 1
1.0%

중구 여
Real number (ℝ)

Distinct96
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean402.9703
Minimum5
Maximum701
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:57:57.357719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile30
Q1252
median460
Q3576
95-th percentile665
Maximum701
Range696
Interquartile range (IQR)324

Descriptive statistics

Standard deviation201.61773
Coefficient of variation (CV)0.50032901
Kurtosis-0.9549913
Mean402.9703
Median Absolute Deviation (MAD)149
Skewness-0.46372135
Sum40700
Variance40649.709
MonotonicityNot monotonic
2023-12-11T03:57:57.720897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
601 2
 
2.0%
548 2
 
2.0%
535 2
 
2.0%
30 2
 
2.0%
380 2
 
2.0%
255 1
 
1.0%
610 1
 
1.0%
462 1
 
1.0%
372 1
 
1.0%
412 1
 
1.0%
Other values (86) 86
85.1%
ValueCountFrequency (%)
5 1
1.0%
7 1
1.0%
17 1
1.0%
18 1
1.0%
19 1
1.0%
30 2
2.0%
36 1
1.0%
67 1
1.0%
70 1
1.0%
87 1
1.0%
ValueCountFrequency (%)
701 1
1.0%
688 1
1.0%
686 1
1.0%
670 1
1.0%
667 1
1.0%
665 1
1.0%
660 1
1.0%
658 1
1.0%
637 1
1.0%
636 1
1.0%

동구 계
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3459.6931
Minimum19
Maximum6623
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:57:57.968472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile89
Q12376
median3711
Q35143
95-th percentile5765
Maximum6623
Range6604
Interquartile range (IQR)2767

Descriptive statistics

Standard deviation1874.8041
Coefficient of variation (CV)0.54189898
Kurtosis-0.8679737
Mean3459.6931
Median Absolute Deviation (MAD)1356
Skewness-0.39707376
Sum349429
Variance3514890.6
MonotonicityNot monotonic
2023-12-11T03:57:58.184251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5597 2
 
2.0%
5619 2
 
2.0%
5441 2
 
2.0%
2291 1
 
1.0%
3955 1
 
1.0%
2907 1
 
1.0%
2744 1
 
1.0%
2355 1
 
1.0%
2775 1
 
1.0%
3741 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
19 1
1.0%
32 1
1.0%
45 1
1.0%
57 1
1.0%
62 1
1.0%
89 1
1.0%
107 1
1.0%
140 1
1.0%
185 1
1.0%
210 1
1.0%
ValueCountFrequency (%)
6623 1
1.0%
6419 1
1.0%
6371 1
1.0%
6056 1
1.0%
5888 1
1.0%
5765 1
1.0%
5755 1
1.0%
5716 1
1.0%
5696 1
1.0%
5683 1
1.0%

동구 남
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1715.7723
Minimum4
Maximum3158
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:57:58.389142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile16
Q11169
median1828
Q32566
95-th percentile2951
Maximum3158
Range3154
Interquartile range (IQR)1397

Descriptive statistics

Standard deviation975.57633
Coefficient of variation (CV)0.56859313
Kurtosis-1.0176367
Mean1715.7723
Median Absolute Deviation (MAD)738
Skewness-0.4467784
Sum173293
Variance951749.18
MonotonicityNot monotonic
2023-12-11T03:57:58.975839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 2
 
2.0%
1171 1
 
1.0%
2255 1
 
1.0%
1192 1
 
1.0%
1039 1
 
1.0%
1237 1
 
1.0%
1732 1
 
1.0%
1754 1
 
1.0%
1861 1
 
1.0%
1741 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
4 1
1.0%
8 1
1.0%
11 2
2.0%
13 1
1.0%
16 1
1.0%
23 1
1.0%
29 1
1.0%
38 1
1.0%
40 1
1.0%
86 1
1.0%
ValueCountFrequency (%)
3158 1
1.0%
3036 1
1.0%
2977 1
1.0%
2973 1
1.0%
2955 1
1.0%
2951 1
1.0%
2949 1
1.0%
2947 1
1.0%
2913 1
1.0%
2867 1
1.0%

동구 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1743.9208
Minimum15
Maximum3465
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:57:59.200092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile73
Q11239
median1832
Q32537
95-th percentile3011
Maximum3465
Range3450
Interquartile range (IQR)1298

Descriptive statistics

Standard deviation916.6829
Coefficient of variation (CV)0.5256448
Kurtosis-0.70526064
Mean1743.9208
Median Absolute Deviation (MAD)628
Skewness-0.28629386
Sum176136
Variance840307.53
MonotonicityNot monotonic
2023-12-11T03:57:59.432031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2814 2
 
2.0%
1120 1
 
1.0%
1685 1
 
1.0%
1552 1
 
1.0%
1316 1
 
1.0%
1538 1
 
1.0%
2009 1
 
1.0%
2097 1
 
1.0%
2129 1
 
1.0%
1953 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
15 1
1.0%
24 1
1.0%
32 1
1.0%
46 1
1.0%
51 1
1.0%
73 1
1.0%
84 1
1.0%
111 1
1.0%
147 1
1.0%
170 1
1.0%
ValueCountFrequency (%)
3465 1
1.0%
3394 1
1.0%
3383 1
1.0%
3101 1
1.0%
3015 1
1.0%
3011 1
1.0%
2974 1
1.0%
2941 1
1.0%
2935 1
1.0%
2919 1
1.0%

서구 계
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1894.6337
Minimum12
Maximum4340
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:57:59.645240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile63
Q11013
median2021
Q32760
95-th percentile3774
Maximum4340
Range4328
Interquartile range (IQR)1747

Descriptive statistics

Standard deviation1183.3318
Coefficient of variation (CV)0.62457022
Kurtosis-0.90456925
Mean1894.6337
Median Absolute Deviation (MAD)952
Skewness0.095779781
Sum191358
Variance1400274.1
MonotonicityNot monotonic
2023-12-11T03:57:59.870313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2416 2
 
2.0%
779 1
 
1.0%
3093 1
 
1.0%
1704 1
 
1.0%
1691 1
 
1.0%
1308 1
 
1.0%
1622 1
 
1.0%
2229 1
 
1.0%
2436 1
 
1.0%
2234 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
12 1
1.0%
14 1
1.0%
15 1
1.0%
29 1
1.0%
36 1
1.0%
63 1
1.0%
73 1
1.0%
88 1
1.0%
90 1
1.0%
124 1
1.0%
ValueCountFrequency (%)
4340 1
1.0%
4296 1
1.0%
4246 1
1.0%
4141 1
1.0%
3818 1
1.0%
3774 1
1.0%
3619 1
1.0%
3606 1
1.0%
3550 1
1.0%
3540 1
1.0%

서구 남
Real number (ℝ)

Distinct97
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean955.15842
Minimum1
Maximum2159
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:58:00.089997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q1501
median1071
Q31484
95-th percentile1895
Maximum2159
Range2158
Interquartile range (IQR)983

Descriptive statistics

Standard deviation620.71473
Coefficient of variation (CV)0.64985527
Kurtosis-1.1450056
Mean955.15842
Median Absolute Deviation (MAD)539
Skewness-0.018002989
Sum96471
Variance385286.77
MonotonicityNot monotonic
2023-12-11T03:58:00.307391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1633 2
 
2.0%
532 2
 
2.0%
4 2
 
2.0%
6 2
 
2.0%
1493 1
 
1.0%
623 1
 
1.0%
706 1
 
1.0%
990 1
 
1.0%
1135 1
 
1.0%
1145 1
 
1.0%
Other values (87) 87
86.1%
ValueCountFrequency (%)
1 1
1.0%
4 2
2.0%
6 2
2.0%
8 1
1.0%
11 1
1.0%
18 1
1.0%
20 1
1.0%
21 1
1.0%
33 1
1.0%
47 1
1.0%
ValueCountFrequency (%)
2159 1
1.0%
2070 1
1.0%
2049 1
1.0%
2037 1
1.0%
1921 1
1.0%
1895 1
1.0%
1864 1
1.0%
1852 1
1.0%
1822 1
1.0%
1810 1
1.0%

서구 여
Real number (ℝ)

Distinct97
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean939.47525
Minimum8
Maximum2247
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:58:00.515384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile52
Q1496
median933
Q31271
95-th percentile1879
Maximum2247
Range2239
Interquartile range (IQR)775

Descriptive statistics

Standard deviation575.9835
Coefficient of variation (CV)0.61309066
Kurtosis-0.62970232
Mean939.47525
Median Absolute Deviation (MAD)396
Skewness0.26759045
Sum94887
Variance331756.99
MonotonicityNot monotonic
2023-12-11T03:58:00.719466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
480 2
 
2.0%
554 2
 
2.0%
1271 2
 
2.0%
1024 2
 
2.0%
372 1
 
1.0%
1316 1
 
1.0%
1140 1
 
1.0%
983 1
 
1.0%
959 1
 
1.0%
685 1
 
1.0%
Other values (87) 87
86.1%
ValueCountFrequency (%)
8 1
1.0%
10 1
1.0%
14 1
1.0%
23 1
1.0%
30 1
1.0%
52 1
1.0%
65 1
1.0%
67 1
1.0%
72 1
1.0%
104 1
1.0%
ValueCountFrequency (%)
2247 1
1.0%
2181 1
1.0%
2176 1
1.0%
2104 1
1.0%
1897 1
1.0%
1879 1
1.0%
1870 1
1.0%
1829 1
1.0%
1797 1
1.0%
1784 1
1.0%

남구 계
Real number (ℝ)

Distinct97
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1510.6337
Minimum13
Maximum3037
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:58:00.934641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile57
Q1849
median1719
Q32159
95-th percentile2724
Maximum3037
Range3024
Interquartile range (IQR)1310

Descriptive statistics

Standard deviation847.11586
Coefficient of variation (CV)0.56076856
Kurtosis-1.0575424
Mean1510.6337
Median Absolute Deviation (MAD)725
Skewness-0.22863919
Sum152574
Variance717605.27
MonotonicityNot monotonic
2023-12-11T03:58:01.173915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
768 2
 
2.0%
821 2
 
2.0%
2159 2
 
2.0%
866 2
 
2.0%
637 1
 
1.0%
2375 1
 
1.0%
1524 1
 
1.0%
1406 1
 
1.0%
1192 1
 
1.0%
1458 1
 
1.0%
Other values (87) 87
86.1%
ValueCountFrequency (%)
13 1
1.0%
20 1
1.0%
25 1
1.0%
29 1
1.0%
52 1
1.0%
57 1
1.0%
69 1
1.0%
73 1
1.0%
95 1
1.0%
120 1
1.0%
ValueCountFrequency (%)
3037 1
1.0%
3000 1
1.0%
2875 1
1.0%
2808 1
1.0%
2758 1
1.0%
2724 1
1.0%
2675 1
1.0%
2626 1
1.0%
2620 1
1.0%
2555 1
1.0%

남구 남
Real number (ℝ)

Distinct96
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean732.51485
Minimum2
Maximum1399
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:58:01.383850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile12
Q1409
median832
Q31096
95-th percentile1304
Maximum1399
Range1397
Interquartile range (IQR)687

Descriptive statistics

Standard deviation429.01127
Coefficient of variation (CV)0.58566904
Kurtosis-1.1910488
Mean732.51485
Median Absolute Deviation (MAD)356
Skewness-0.26888045
Sum73984
Variance184050.67
MonotonicityNot monotonic
2023-12-11T03:58:01.589314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1249 2
 
2.0%
442 2
 
2.0%
5 2
 
2.0%
12 2
 
2.0%
210 2
 
2.0%
328 1
 
1.0%
1104 1
 
1.0%
624 1
 
1.0%
839 1
 
1.0%
888 1
 
1.0%
Other values (86) 86
85.1%
ValueCountFrequency (%)
2 1
1.0%
3 1
1.0%
5 2
2.0%
12 2
2.0%
16 1
1.0%
17 1
1.0%
19 1
1.0%
33 1
1.0%
61 1
1.0%
68 1
1.0%
ValueCountFrequency (%)
1399 1
1.0%
1382 1
1.0%
1375 1
1.0%
1364 1
1.0%
1340 1
1.0%
1304 1
1.0%
1298 1
1.0%
1293 1
1.0%
1287 1
1.0%
1265 1
1.0%

남구 여
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean778.11881
Minimum10
Maximum1655
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:58:01.797297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile45
Q1404
median852
Q31080
95-th percentile1426
Maximum1655
Range1645
Interquartile range (IQR)676

Descriptive statistics

Standard deviation427.61773
Coefficient of variation (CV)0.54955326
Kurtosis-0.90343346
Mean778.11881
Median Absolute Deviation (MAD)366
Skewness-0.13544699
Sum78590
Variance182856.93
MonotonicityNot monotonic
2023-12-11T03:58:02.028409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
390 2
 
2.0%
1080 2
 
2.0%
1001 2
 
2.0%
309 1
 
1.0%
1054 1
 
1.0%
971 1
 
1.0%
881 1
 
1.0%
796 1
 
1.0%
711 1
 
1.0%
834 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
10 1
1.0%
15 1
1.0%
20 1
1.0%
27 1
1.0%
40 1
1.0%
45 1
1.0%
52 1
1.0%
54 1
1.0%
79 1
1.0%
87 1
1.0%
ValueCountFrequency (%)
1655 1
1.0%
1636 1
1.0%
1476 1
1.0%
1465 1
1.0%
1433 1
1.0%
1426 1
1.0%
1425 1
1.0%
1385 1
1.0%
1322 1
1.0%
1321 1
1.0%

북구 계
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4369.5347
Minimum12
Maximum8724
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:58:02.240702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile81
Q12470
median4485
Q36582
95-th percentile8236
Maximum8724
Range8712
Interquartile range (IQR)4112

Descriptive statistics

Standard deviation2591.0648
Coefficient of variation (CV)0.59298415
Kurtosis-1.0295478
Mean4369.5347
Median Absolute Deviation (MAD)2097
Skewness-0.22100043
Sum441323
Variance6713616.7
MonotonicityNot monotonic
2023-12-11T03:58:02.461407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4485 2
 
2.0%
2891 1
 
1.0%
4259 1
 
1.0%
3135 1
 
1.0%
2582 1
 
1.0%
2571 1
 
1.0%
2088 1
 
1.0%
2470 1
 
1.0%
3447 1
 
1.0%
3599 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
12 1
1.0%
25 1
1.0%
39 1
1.0%
46 1
1.0%
69 1
1.0%
81 1
1.0%
92 1
1.0%
94 1
1.0%
164 1
1.0%
190 1
1.0%
ValueCountFrequency (%)
8724 1
1.0%
8574 1
1.0%
8521 1
1.0%
8499 1
1.0%
8497 1
1.0%
8236 1
1.0%
8137 1
1.0%
7968 1
1.0%
7894 1
1.0%
7753 1
1.0%

북구 남
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2183.1584
Minimum2
Maximum4361
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:58:02.645353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile15
Q11030
median2355
Q33291
95-th percentile4014
Maximum4361
Range4359
Interquartile range (IQR)2261

Descriptive statistics

Standard deviation1357.9648
Coefficient of variation (CV)0.62201842
Kurtosis-1.1903517
Mean2183.1584
Median Absolute Deviation (MAD)1108
Skewness-0.27160515
Sum220499
Variance1844068.3
MonotonicityNot monotonic
2023-12-11T03:58:02.840462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2666 2
 
2.0%
1431 1
 
1.0%
2077 1
 
1.0%
1070 1
 
1.0%
1039 1
 
1.0%
926 1
 
1.0%
1135 1
 
1.0%
1531 1
 
1.0%
1622 1
 
1.0%
1680 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
2 1
1.0%
4 1
1.0%
7 1
1.0%
8 1
1.0%
12 1
1.0%
15 1
1.0%
16 1
1.0%
21 1
1.0%
37 1
1.0%
42 1
1.0%
ValueCountFrequency (%)
4361 1
1.0%
4241 1
1.0%
4213 1
1.0%
4204 1
1.0%
4177 1
1.0%
4014 1
1.0%
4011 1
1.0%
3989 1
1.0%
3944 1
1.0%
3928 1
1.0%

북구 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2186.3762
Minimum8
Maximum4363
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:58:03.089414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile66
Q11335
median2175
Q33111
95-th percentile4225
Maximum4363
Range4355
Interquartile range (IQR)1776

Descriptive statistics

Standard deviation1247.3357
Coefficient of variation (CV)0.57050366
Kurtosis-0.83948399
Mean2186.3762
Median Absolute Deviation (MAD)855
Skewness-0.13707228
Sum220824
Variance1555846.2
MonotonicityNot monotonic
2023-12-11T03:58:03.310367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1959 2
 
2.0%
1460 1
 
1.0%
2408 1
 
1.0%
1728 1
 
1.0%
1512 1
 
1.0%
1532 1
 
1.0%
1162 1
 
1.0%
1335 1
 
1.0%
1916 1
 
1.0%
1977 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
8 1
1.0%
23 1
1.0%
32 1
1.0%
38 1
1.0%
53 1
1.0%
66 1
1.0%
73 1
1.0%
80 1
1.0%
127 1
1.0%
148 1
1.0%
ValueCountFrequency (%)
4363 1
1.0%
4333 1
1.0%
4322 1
1.0%
4308 1
1.0%
4293 1
1.0%
4225 1
1.0%
4123 1
1.0%
4042 1
1.0%
3979 1
1.0%
3931 1
1.0%

수성구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4342.7822
Minimum9
Maximum9293
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:58:03.516794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile98
Q12330
median4489
Q36461
95-th percentile8609
Maximum9293
Range9284
Interquartile range (IQR)4131

Descriptive statistics

Standard deviation2609.152
Coefficient of variation (CV)0.60080196
Kurtosis-0.94807292
Mean4342.7822
Median Absolute Deviation (MAD)2064
Skewness-0.04584225
Sum438621
Variance6807674.4
MonotonicityNot monotonic
2023-12-11T03:58:03.746966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1876 1
 
1.0%
4489 1
 
1.0%
2823 1
 
1.0%
2681 1
 
1.0%
2206 1
 
1.0%
2676 1
 
1.0%
3609 1
 
1.0%
3597 1
 
1.0%
3738 1
 
1.0%
3625 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
9 1
1.0%
29 1
1.0%
41 1
1.0%
77 1
1.0%
87 1
1.0%
98 1
1.0%
101 1
1.0%
140 1
1.0%
243 1
1.0%
297 1
1.0%
ValueCountFrequency (%)
9293 1
1.0%
9228 1
1.0%
9222 1
1.0%
9059 1
1.0%
8779 1
1.0%
8609 1
1.0%
8376 1
1.0%
7758 1
1.0%
7735 1
1.0%
7626 1
1.0%

수성구 남
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2115.0396
Minimum3
Maximum4492
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:58:03.972948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile24
Q1981
median2178
Q33300
95-th percentile4027
Maximum4492
Range4489
Interquartile range (IQR)2319

Descriptive statistics

Standard deviation1320.3885
Coefficient of variation (CV)0.62428547
Kurtosis-1.1331363
Mean2115.0396
Median Absolute Deviation (MAD)1131
Skewness-0.12063205
Sum213619
Variance1743425.8
MonotonicityNot monotonic
2023-12-11T03:58:04.232063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
953 1
 
1.0%
2048 1
 
1.0%
1202 1
 
1.0%
1198 1
 
1.0%
978 1
 
1.0%
1219 1
 
1.0%
1621 1
 
1.0%
1581 1
 
1.0%
1737 1
 
1.0%
1663 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
3 1
1.0%
5 1
1.0%
6 1
1.0%
14 1
1.0%
22 1
1.0%
24 1
1.0%
27 1
1.0%
37 1
1.0%
60 1
1.0%
78 1
1.0%
ValueCountFrequency (%)
4492 1
1.0%
4312 1
1.0%
4307 1
1.0%
4239 1
1.0%
4139 1
1.0%
4027 1
1.0%
3985 1
1.0%
3837 1
1.0%
3832 1
1.0%
3818 1
1.0%

수성구 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2227.7426
Minimum6
Maximum4981
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:58:04.880507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile71
Q11318
median2144
Q33140
95-th percentile4708
Maximum4981
Range4975
Interquartile range (IQR)1822

Descriptive statistics

Standard deviation1315.4899
Coefficient of variation (CV)0.59050356
Kurtosis-0.66771108
Mean2227.7426
Median Absolute Deviation (MAD)916
Skewness0.11609902
Sum225002
Variance1730513.7
MonotonicityNot monotonic
2023-12-11T03:58:05.110136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2967 2
 
2.0%
923 1
 
1.0%
2525 1
 
1.0%
1785 1
 
1.0%
1621 1
 
1.0%
1483 1
 
1.0%
1228 1
 
1.0%
1457 1
 
1.0%
1988 1
 
1.0%
2016 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
6 1
1.0%
23 1
1.0%
36 1
1.0%
63 1
1.0%
65 1
1.0%
71 1
1.0%
77 1
1.0%
103 1
1.0%
183 1
1.0%
219 1
1.0%
ValueCountFrequency (%)
4981 1
1.0%
4921 1
1.0%
4820 1
1.0%
4794 1
1.0%
4730 1
1.0%
4708 1
1.0%
4470 1
1.0%
4377 1
1.0%
4006 1
1.0%
3930 1
1.0%

달서구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5715.901
Minimum17
Maximum11637
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:58:05.364496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile93
Q12917
median6014
Q38469
95-th percentile10958
Maximum11637
Range11620
Interquartile range (IQR)5552

Descriptive statistics

Standard deviation3498.1165
Coefficient of variation (CV)0.61199739
Kurtosis-1.1358271
Mean5715.901
Median Absolute Deviation (MAD)2787
Skewness-0.16419521
Sum577306
Variance12236819
MonotonicityNot monotonic
2023-12-11T03:58:05.585273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3461 1
 
1.0%
5679 1
 
1.0%
3024 1
 
1.0%
2919 1
 
1.0%
2515 1
 
1.0%
3175 1
 
1.0%
4248 1
 
1.0%
4491 1
 
1.0%
4563 1
 
1.0%
4532 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
17 1
1.0%
25 1
1.0%
27 1
1.0%
65 1
1.0%
70 1
1.0%
93 1
1.0%
113 1
1.0%
155 1
1.0%
201 1
1.0%
220 1
1.0%
ValueCountFrequency (%)
11637 1
1.0%
11179 1
1.0%
11145 1
1.0%
11141 1
1.0%
11029 1
1.0%
10958 1
1.0%
10848 1
1.0%
10837 1
1.0%
10558 1
1.0%
10430 1
1.0%

달서구 남
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2835.3168
Minimum4
Maximum5593
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:58:05.791704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile17
Q11201
median2923
Q34372
95-th percentile5264
Maximum5593
Range5589
Interquartile range (IQR)3171

Descriptive statistics

Standard deviation1792.9069
Coefficient of variation (CV)0.63234799
Kurtosis-1.268739
Mean2835.3168
Median Absolute Deviation (MAD)1580
Skewness-0.2598302
Sum286367
Variance3214515.2
MonotonicityNot monotonic
2023-12-11T03:58:06.036387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 2
 
2.0%
1828 1
 
1.0%
3269 1
 
1.0%
1294 1
 
1.0%
1127 1
 
1.0%
1515 1
 
1.0%
1972 1
 
1.0%
2123 1
 
1.0%
2178 1
 
1.0%
2203 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
4 2
2.0%
8 1
1.0%
9 1
1.0%
12 1
1.0%
17 1
1.0%
28 1
1.0%
35 1
1.0%
46 1
1.0%
51 1
1.0%
78 1
1.0%
ValueCountFrequency (%)
5593 1
1.0%
5498 1
1.0%
5359 1
1.0%
5330 1
1.0%
5293 1
1.0%
5264 1
1.0%
5263 1
1.0%
5253 1
1.0%
5073 1
1.0%
5031 1
1.0%

달서구 여
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2880.5842
Minimum13
Maximum6044
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:58:06.295708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile76
Q11625
median2845
Q34172
95-th percentile5643
Maximum6044
Range6031
Interquartile range (IQR)2547

Descriptive statistics

Standard deviation1726.0487
Coefficient of variation (CV)0.59920094
Kurtosis-0.9488781
Mean2880.5842
Median Absolute Deviation (MAD)1306
Skewness-0.022338152
Sum290939
Variance2979244.2
MonotonicityNot monotonic
2023-12-11T03:58:06.567915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1633 1
 
1.0%
2915 1
 
1.0%
1721 1
 
1.0%
1625 1
 
1.0%
1388 1
 
1.0%
1660 1
 
1.0%
2276 1
 
1.0%
2368 1
 
1.0%
2385 1
 
1.0%
2329 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
13 1
1.0%
17 1
1.0%
23 1
1.0%
56 1
1.0%
58 1
1.0%
76 1
1.0%
85 1
1.0%
120 1
1.0%
155 1
1.0%
169 1
1.0%
ValueCountFrequency (%)
6044 1
1.0%
5892 1
1.0%
5849 1
1.0%
5766 1
1.0%
5665 1
1.0%
5643 1
1.0%
5597 1
1.0%
5573 1
1.0%
5489 1
1.0%
5468 1
1.0%

달성군 계
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2421.2871
Minimum5
Maximum5133
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:58:06.806859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile41
Q11155
median2766
Q33699
95-th percentile4240
Maximum5133
Range5128
Interquartile range (IQR)2544

Descriptive statistics

Standard deviation1448.8527
Coefficient of variation (CV)0.5983812
Kurtosis-1.0493007
Mean2421.2871
Median Absolute Deviation (MAD)1142
Skewness-0.24733734
Sum244550
Variance2099174.2
MonotonicityNot monotonic
2023-12-11T03:58:07.155224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2877 3
 
3.0%
2766 1
 
1.0%
2478 1
 
1.0%
1361 1
 
1.0%
1207 1
 
1.0%
1155 1
 
1.0%
1027 1
 
1.0%
1184 1
 
1.0%
1605 1
 
1.0%
1780 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
5 1
1.0%
16 1
1.0%
18 1
1.0%
25 1
1.0%
28 1
1.0%
41 1
1.0%
51 1
1.0%
53 1
1.0%
83 1
1.0%
127 1
1.0%
ValueCountFrequency (%)
5133 1
1.0%
5019 1
1.0%
4990 1
1.0%
4808 1
1.0%
4471 1
1.0%
4240 1
1.0%
4180 1
1.0%
4136 1
1.0%
4134 1
1.0%
4115 1
1.0%

달성군 남
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1232.6337
Minimum1
Maximum2724
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:58:07.404418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q1486
median1426
Q31877
95-th percentile2209
Maximum2724
Range2723
Interquartile range (IQR)1391

Descriptive statistics

Standard deviation777.06183
Coefficient of variation (CV)0.63040777
Kurtosis-1.151743
Mean1232.6337
Median Absolute Deviation (MAD)551
Skewness-0.27758071
Sum124496
Variance603825.09
MonotonicityNot monotonic
2023-12-11T03:58:07.664611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1620 2
 
2.0%
1 2
 
2.0%
7 2
 
2.0%
1426 1
 
1.0%
1232 1
 
1.0%
486 1
 
1.0%
564 1
 
1.0%
779 1
 
1.0%
880 1
 
1.0%
904 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
1 2
2.0%
3 1
1.0%
7 2
2.0%
8 1
1.0%
9 1
1.0%
12 1
1.0%
18 1
1.0%
21 1
1.0%
39 1
1.0%
46 1
1.0%
ValueCountFrequency (%)
2724 1
1.0%
2589 1
1.0%
2486 1
1.0%
2462 1
1.0%
2259 1
1.0%
2209 1
1.0%
2181 1
1.0%
2141 1
1.0%
2136 1
1.0%
2131 1
1.0%

달성군 여
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1188.6535
Minimum4
Maximum2504
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:58:07.906739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile33
Q1636
median1275
Q31788
95-th percentile2065
Maximum2504
Range2500
Interquartile range (IQR)1152

Descriptive statistics

Standard deviation677.52168
Coefficient of variation (CV)0.56999092
Kurtosis-0.91326992
Mean1188.6535
Median Absolute Deviation (MAD)547
Skewness-0.20178735
Sum120054
Variance459035.63
MonotonicityNot monotonic
2023-12-11T03:58:08.191494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1275 2
 
2.0%
1227 2
 
2.0%
1340 1
 
1.0%
942 1
 
1.0%
804 1
 
1.0%
698 1
 
1.0%
611 1
 
1.0%
541 1
 
1.0%
620 1
 
1.0%
826 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
4 1
1.0%
13 1
1.0%
17 1
1.0%
18 1
1.0%
19 1
1.0%
33 1
1.0%
41 1
1.0%
44 1
1.0%
62 1
1.0%
109 1
1.0%
ValueCountFrequency (%)
2504 1
1.0%
2430 1
1.0%
2409 1
1.0%
2346 1
1.0%
2212 1
1.0%
2065 1
1.0%
2061 1
1.0%
2032 1
1.0%
2031 1
1.0%
2008 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
00세15222781074125212662552291117111207794073726373283092891143114601876953923346118281633276614261340
11세1836393908973657339318282014161404973493480768386382357517741801234612231123409421701924313015891541
22세198251014096856253143113001151814831015532483798401397388020281852273114131318450623142192326916201649
33세20058102319827617311306307615731503981501480799409390382819671861291014871423464523632282320216201582
44세19690998397075672842832915148914261059520539821426395380819321876306615641502450122572244295315111442
55세2228011452108286403582823284172015641133579554898442456418321502033366818771791533126882643314316381505
66세2153911011105285582882703021157214491069540529849445404406321041959385919451914510225732529301815441474
77세2188811321105675692922773040156214781022526496821454367411521561959405520911964538927702619287714701407
88세20194104939701472266206278214621320957472485809396413373618861850400421141890501826522366241612451171
99세2126511029102364852382472824146013641001510491867471396401120721939442922852144512126932428252713001227
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
9191세137229910738417672104017012420104120338719042148297782192205116912718109
9292세110824786147113618538147901872951679164371272436018320146155832162
9393세765165600399301402911173865731954942173140371031553512051744
9494세6071304774212308916736311525712459212809827711132885531241
9595세47292380201196211513663052124081156687226593177641833
9696세33963276224185711462962325520397327714636595625718
9797세237491882361745133212482922746838415362581716313
9898세17630146103732824151142051525223296232742318117
9999세952471615194151441013310124893617413514
100100세 이상6181384808616701072384882167691752691653101247770125828919