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

Description2018.5.31.기준 주민등록인구 현황
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3077757&dataSetDetailId=30777571d5e88f2b3913&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
동구 남 has unique valuesUnique
북구 계 has unique valuesUnique
북구 남 has unique valuesUnique
북구 여 has unique valuesUnique
수성구 계 has unique valuesUnique
수성구 남 has unique valuesUnique
달서구 남 has unique valuesUnique

Reproduction

Analysis started2023-09-29 01:16:42.876672
Analysis finished2023-09-29 01:16:46.121913
Duration3.25 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
2023-09-29T01:16:46.743679image/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%
2023-09-29T01:16:48.231221image/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%
Mean24454.812
Minimum115
Maximum47284
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:16:49.425290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum115
5-th percentile578
Q114737
median26025
Q335248
95-th percentile44238
Maximum47284
Range47169
Interquartile range (IQR)20511

Descriptive statistics

Standard deviation13890.006
Coefficient of variation (CV)0.56798662
Kurtosis-0.97436381
Mean24454.812
Median Absolute Deviation (MAD)9556
Skewness-0.28105179
Sum2469936
Variance1.9293227 × 108
MonotonicityNot monotonic
2023-09-29T01:16:49.944982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14737 1
 
1.0%
26025 1
 
1.0%
16469 1
 
1.0%
15209 1
 
1.0%
12149 1
 
1.0%
19471 1
 
1.0%
21334 1
 
1.0%
22986 1
 
1.0%
22769 1
 
1.0%
21133 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
115 1
1.0%
183 1
1.0%
233 1
1.0%
367 1
1.0%
514 1
1.0%
578 1
1.0%
619 1
1.0%
856 1
1.0%
1048 1
1.0%
1560 1
1.0%
ValueCountFrequency (%)
47284 1
1.0%
47183 1
1.0%
45445 1
1.0%
45248 1
1.0%
44964 1
1.0%
44238 1
1.0%
43972 1
1.0%
43568 1
1.0%
43526 1
1.0%
42862 1
1.0%

총계 남
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12124.05
Minimum28
Maximum23234
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:16:50.712315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28
5-th percentile118
Q16620
median12744
Q318397
95-th percentile21788
Maximum23234
Range23206
Interquartile range (IQR)11777

Descriptive statistics

Standard deviation7216.5256
Coefficient of variation (CV)0.59522403
Kurtosis-1.1280194
Mean12124.05
Median Absolute Deviation (MAD)5854
Skewness-0.34281018
Sum1224529
Variance52078241
MonotonicityNot monotonic
2023-09-29T01:16:51.551645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7564 1
 
1.0%
12434 1
 
1.0%
6890 1
 
1.0%
6620 1
 
1.0%
5565 1
 
1.0%
8720 1
 
1.0%
9749 1
 
1.0%
10480 1
 
1.0%
10780 1
 
1.0%
9903 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
28 1
1.0%
30 1
1.0%
48 1
1.0%
69 1
1.0%
105 1
1.0%
118 1
1.0%
137 1
1.0%
195 1
1.0%
210 1
1.0%
359 1
1.0%
ValueCountFrequency (%)
23234 1
1.0%
22966 1
1.0%
22377 1
1.0%
22322 1
1.0%
22149 1
1.0%
21788 1
1.0%
21639 1
1.0%
21331 1
1.0%
21213 1
1.0%
20974 1
1.0%

총계 여
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12330.762
Minimum87
Maximum24318
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:16:52.325310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum87
5-th percentile460
Q18452
median12459
Q317351
95-th percentile22598
Maximum24318
Range24231
Interquartile range (IQR)8899

Descriptive statistics

Standard deviation6756.4393
Coefficient of variation (CV)0.54793362
Kurtosis-0.81219328
Mean12330.762
Median Absolute Deviation (MAD)4852
Skewness-0.190151
Sum1245407
Variance45649472
MonotonicityNot monotonic
2023-09-29T01:16:53.006953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7173 1
 
1.0%
13591 1
 
1.0%
9579 1
 
1.0%
8589 1
 
1.0%
6584 1
 
1.0%
10751 1
 
1.0%
11585 1
 
1.0%
12506 1
 
1.0%
11989 1
 
1.0%
11230 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
87 1
1.0%
153 1
1.0%
185 1
1.0%
298 1
1.0%
409 1
1.0%
460 1
1.0%
482 1
1.0%
661 1
1.0%
838 1
1.0%
1201 1
1.0%
ValueCountFrequency (%)
24318 1
1.0%
23949 1
1.0%
23099 1
1.0%
23068 1
1.0%
22642 1
1.0%
22598 1
1.0%
22450 1
1.0%
22333 1
1.0%
22195 1
1.0%
21681 1
1.0%

중구 계
Real number (ℝ)

Distinct97
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean779.08911
Minimum6
Maximum1373
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:16:53.534104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile35
Q1508
median851
Q31159
95-th percentile1276
Maximum1373
Range1367
Interquartile range (IQR)651

Descriptive statistics

Standard deviation408.02287
Coefficient of variation (CV)0.52371785
Kurtosis-1.0269454
Mean779.08911
Median Absolute Deviation (MAD)324
Skewness-0.44281563
Sum78688
Variance166482.66
MonotonicityNot monotonic
2023-09-29T01:16:54.163509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
620 2
 
2.0%
21 2
 
2.0%
1151 2
 
2.0%
1169 2
 
2.0%
1275 1
 
1.0%
1000 1
 
1.0%
692 1
 
1.0%
580 1
 
1.0%
874 1
 
1.0%
918 1
 
1.0%
Other values (87) 87
86.1%
ValueCountFrequency (%)
6 1
1.0%
14 1
1.0%
21 2
2.0%
33 1
1.0%
35 1
1.0%
42 1
1.0%
48 1
1.0%
89 1
1.0%
90 1
1.0%
121 1
1.0%
ValueCountFrequency (%)
1373 1
1.0%
1342 1
1.0%
1309 1
1.0%
1302 1
1.0%
1279 1
1.0%
1276 1
1.0%
1275 1
1.0%
1264 1
1.0%
1263 1
1.0%
1244 1
1.0%

중구 남
Real number (ℝ)

Distinct91
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean378.13861
Minimum1
Maximum677
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:16:55.898694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9
Q1245
median372
Q3572
95-th percentile642
Maximum677
Range676
Interquartile range (IQR)327

Descriptive statistics

Standard deviation212.53936
Coefficient of variation (CV)0.56206733
Kurtosis-1.0997656
Mean378.13861
Median Absolute Deviation (MAD)178
Skewness-0.37141197
Sum38192
Variance45172.981
MonotonicityNot monotonic
2023-09-29T01:16:56.750087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
613 3
 
3.0%
622 2
 
2.0%
550 2
 
2.0%
548 2
 
2.0%
9 2
 
2.0%
368 2
 
2.0%
347 2
 
2.0%
245 2
 
2.0%
542 2
 
2.0%
421 1
 
1.0%
Other values (81) 81
80.2%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
4 1
1.0%
6 1
1.0%
7 1
1.0%
9 2
2.0%
14 1
1.0%
16 1
1.0%
17 1
1.0%
35 1
1.0%
ValueCountFrequency (%)
677 1
1.0%
674 1
1.0%
671 1
1.0%
658 1
1.0%
652 1
1.0%
642 1
1.0%
633 1
1.0%
631 1
1.0%
626 1
1.0%
622 2
2.0%

중구 여
Real number (ℝ)

Distinct96
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean400.9505
Minimum5
Maximum720
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:16:57.843982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile26
Q1245
median460
Q3577
95-th percentile639
Maximum720
Range715
Interquartile range (IQR)332

Descriptive statistics

Standard deviation199.85547
Coefficient of variation (CV)0.49845422
Kurtosis-0.96274903
Mean400.9505
Median Absolute Deviation (MAD)149
Skewness-0.46799746
Sum40496
Variance39942.208
MonotonicityNot monotonic
2023-09-29T01:16:58.922321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
627 2
 
2.0%
484 2
 
2.0%
26 2
 
2.0%
577 2
 
2.0%
73 2
 
2.0%
240 1
 
1.0%
639 1
 
1.0%
343 1
 
1.0%
506 1
 
1.0%
507 1
 
1.0%
Other values (86) 86
85.1%
ValueCountFrequency (%)
5 1
1.0%
8 1
1.0%
17 1
1.0%
19 1
1.0%
26 2
2.0%
33 1
1.0%
34 1
1.0%
73 2
2.0%
86 1
1.0%
98 1
1.0%
ValueCountFrequency (%)
720 1
1.0%
696 1
1.0%
687 1
1.0%
661 1
1.0%
657 1
1.0%
639 1
1.0%
633 1
1.0%
628 1
1.0%
627 2
2.0%
625 1
1.0%

동구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3480.3762
Minimum23
Maximum6898
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:16:59.710179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23
5-th percentile106
Q12469
median3627
Q35113
95-th percentile5916
Maximum6898
Range6875
Interquartile range (IQR)2644

Descriptive statistics

Standard deviation1877.7571
Coefficient of variation (CV)0.53952705
Kurtosis-0.85731459
Mean3480.3762
Median Absolute Deviation (MAD)1402
Skewness-0.39841842
Sum351518
Variance3525971.9
MonotonicityNot monotonic
2023-09-29T01:17:00.648551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2298 1
 
1.0%
4307 1
 
1.0%
2894 1
 
1.0%
2666 1
 
1.0%
2139 1
 
1.0%
3354 1
 
1.0%
3621 1
 
1.0%
3980 1
 
1.0%
3930 1
 
1.0%
3566 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
23 1
1.0%
32 1
1.0%
35 1
1.0%
66 1
1.0%
68 1
1.0%
106 1
1.0%
108 1
1.0%
158 1
1.0%
164 1
1.0%
259 1
1.0%
ValueCountFrequency (%)
6898 1
1.0%
6370 1
1.0%
6096 1
1.0%
6001 1
1.0%
5972 1
1.0%
5916 1
1.0%
5913 1
1.0%
5804 1
1.0%
5695 1
1.0%
5694 1
1.0%

동구 남
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1725.0099
Minimum6
Maximum3294
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:01.282600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile16
Q11142
median1816
Q32605
95-th percentile2951
Maximum3294
Range3288
Interquartile range (IQR)1463

Descriptive statistics

Standard deviation976.48601
Coefficient of variation (CV)0.5660756
Kurtosis-1.0046182
Mean1725.0099
Median Absolute Deviation (MAD)757
Skewness-0.44952483
Sum174226
Variance953524.93
MonotonicityNot monotonic
2023-09-29T01:17:02.471599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1170 1
 
1.0%
1981 1
 
1.0%
1231 1
 
1.0%
1142 1
 
1.0%
983 1
 
1.0%
1478 1
 
1.0%
1680 1
 
1.0%
1840 1
 
1.0%
1816 1
 
1.0%
1675 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
6 1
1.0%
7 1
1.0%
9 1
1.0%
12 1
1.0%
13 1
1.0%
16 1
1.0%
23 1
1.0%
31 1
1.0%
38 1
1.0%
54 1
1.0%
ValueCountFrequency (%)
3294 1
1.0%
3017 1
1.0%
2967 1
1.0%
2959 1
1.0%
2956 1
1.0%
2951 1
1.0%
2937 1
1.0%
2934 1
1.0%
2886 1
1.0%
2865 1
1.0%

동구 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1755.3663
Minimum16
Maximum3604
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:03.388830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile85
Q11228
median1807
Q32459
95-th percentile3034
Maximum3604
Range3588
Interquartile range (IQR)1231

Descriptive statistics

Standard deviation919.42042
Coefficient of variation (CV)0.52377695
Kurtosis-0.70789351
Mean1755.3663
Median Absolute Deviation (MAD)634
Skewness-0.28647415
Sum177292
Variance845333.91
MonotonicityNot monotonic
2023-09-29T01:17:04.177894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1254 2
 
2.0%
1128 1
 
1.0%
2428 1
 
1.0%
1807 1
 
1.0%
1663 1
 
1.0%
1524 1
 
1.0%
1156 1
 
1.0%
1876 1
 
1.0%
1941 1
 
1.0%
2140 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
16 1
1.0%
19 1
1.0%
29 1
1.0%
54 1
1.0%
59 1
1.0%
85 1
1.0%
90 1
1.0%
126 1
1.0%
127 1
1.0%
205 1
1.0%
ValueCountFrequency (%)
3604 1
1.0%
3433 1
1.0%
3140 1
1.0%
3107 1
1.0%
3070 1
1.0%
3034 1
1.0%
2979 1
1.0%
2909 1
1.0%
2901 1
1.0%
2896 1
1.0%

서구 계
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1871.7228
Minimum12
Maximum4436
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:05.193590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile60
Q11009
median1970
Q32695
95-th percentile3772
Maximum4436
Range4424
Interquartile range (IQR)1686

Descriptive statistics

Standard deviation1170.2904
Coefficient of variation (CV)0.6252477
Kurtosis-0.88443214
Mean1871.7228
Median Absolute Deviation (MAD)928
Skewness0.11595583
Sum189044
Variance1369579.5
MonotonicityNot monotonic
2023-09-29T01:17:05.848410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2412 2
 
2.0%
2374 2
 
2.0%
1362 2
 
2.0%
716 1
 
1.0%
1774 1
 
1.0%
1698 1
 
1.0%
1549 1
 
1.0%
1173 1
 
1.0%
2004 1
 
1.0%
2202 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
12 1
1.0%
14 1
1.0%
17 1
1.0%
29 1
1.0%
41 1
1.0%
60 1
1.0%
73 1
1.0%
86 1
1.0%
91 1
1.0%
141 1
1.0%
ValueCountFrequency (%)
4436 1
1.0%
4238 1
1.0%
4109 1
1.0%
4044 1
1.0%
3775 1
1.0%
3772 1
1.0%
3714 1
1.0%
3587 1
1.0%
3509 1
1.0%
3473 1
1.0%

서구 남
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean943.43564
Minimum2
Maximum2148
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:06.529407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile9
Q1488
median1018
Q31399
95-th percentile1861
Maximum2148
Range2146
Interquartile range (IQR)911

Descriptive statistics

Standard deviation612.68994
Coefficient of variation (CV)0.64942421
Kurtosis-1.1372028
Mean943.43564
Median Absolute Deviation (MAD)497
Skewness-0.0086302195
Sum95287
Variance375388.97
MonotonicityNot monotonic
2023-09-29T01:17:07.240715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2047 2
 
2.0%
1283 2
 
2.0%
348 1
 
1.0%
1374 1
 
1.0%
851 1
 
1.0%
701 1
 
1.0%
694 1
 
1.0%
535 1
 
1.0%
881 1
 
1.0%
976 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
2 1
1.0%
3 1
1.0%
4 1
1.0%
6 1
1.0%
7 1
1.0%
9 1
1.0%
10 1
1.0%
18 1
1.0%
21 1
1.0%
23 1
1.0%
ValueCountFrequency (%)
2148 1
1.0%
2047 2
2.0%
2007 1
1.0%
1938 1
1.0%
1861 1
1.0%
1824 1
1.0%
1811 1
1.0%
1800 1
1.0%
1780 1
1.0%
1727 1
1.0%

서구 여
Real number (ℝ)

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean928.28713
Minimum8
Maximum2288
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:08.178864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile50
Q1494
median906
Q31243
95-th percentile1853
Maximum2288
Range2280
Interquartile range (IQR)749

Descriptive statistics

Standard deviation570.84137
Coefficient of variation (CV)0.61494052
Kurtosis-0.61123665
Mean928.28713
Median Absolute Deviation (MAD)387
Skewness0.29406689
Sum93757
Variance325859.87
MonotonicityNot monotonic
2023-09-29T01:17:08.667362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1123 3
 
3.0%
519 2
 
2.0%
368 1
 
1.0%
1668 1
 
1.0%
1015 1
 
1.0%
1074 1
 
1.0%
997 1
 
1.0%
855 1
 
1.0%
638 1
 
1.0%
1226 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
8 1
1.0%
12 1
1.0%
14 1
1.0%
22 1
1.0%
35 1
1.0%
50 1
1.0%
64 1
1.0%
68 1
1.0%
70 1
1.0%
118 1
1.0%
ValueCountFrequency (%)
2288 1
1.0%
2191 1
1.0%
2062 1
1.0%
2037 1
1.0%
1964 1
1.0%
1853 1
1.0%
1834 1
1.0%
1807 1
1.0%
1791 1
1.0%
1783 1
1.0%

남구 계
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1504.8812
Minimum14
Maximum3125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:09.497034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile63
Q1843
median1696
Q32172
95-th percentile2688
Maximum3125
Range3111
Interquartile range (IQR)1329

Descriptive statistics

Standard deviation844.88826
Coefficient of variation (CV)0.56143187
Kurtosis-1.0674004
Mean1504.8812
Median Absolute Deviation (MAD)743
Skewness-0.22042617
Sum151993
Variance713836.17
MonotonicityNot monotonic
2023-09-29T01:17:10.471747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2439 2
 
2.0%
778 2
 
2.0%
2301 1
 
1.0%
1696 1
 
1.0%
1498 1
 
1.0%
1292 1
 
1.0%
1087 1
 
1.0%
1793 1
 
1.0%
1820 1
 
1.0%
2002 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
14 1
1.0%
21 1
1.0%
24 1
1.0%
27 1
1.0%
56 1
1.0%
63 1
1.0%
69 1
1.0%
71 1
1.0%
107 1
1.0%
144 1
1.0%
ValueCountFrequency (%)
3125 1
1.0%
2976 1
1.0%
2776 1
1.0%
2759 1
1.0%
2754 1
1.0%
2688 1
1.0%
2663 1
1.0%
2564 1
1.0%
2563 1
1.0%
2554 1
1.0%

남구 남
Real number (ℝ)

Distinct95
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean728.70297
Minimum3
Maximum1428
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:11.520313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile16
Q1405
median796
Q31088
95-th percentile1317
Maximum1428
Range1425
Interquartile range (IQR)683

Descriptive statistics

Standard deviation427.29855
Coefficient of variation (CV)0.58638234
Kurtosis-1.1962707
Mean728.70297
Median Absolute Deviation (MAD)345
Skewness-0.25968618
Sum73599
Variance182584.05
MonotonicityNot monotonic
2023-09-29T01:17:12.385066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 2
 
2.0%
16 2
 
2.0%
969 2
 
2.0%
898 2
 
2.0%
64 2
 
2.0%
1088 2
 
2.0%
299 1
 
1.0%
1249 1
 
1.0%
783 1
 
1.0%
811 1
 
1.0%
Other values (85) 85
84.2%
ValueCountFrequency (%)
3 2
2.0%
4 1
1.0%
6 1
1.0%
9 1
1.0%
16 2
2.0%
17 1
1.0%
19 1
1.0%
35 1
1.0%
64 2
2.0%
79 1
1.0%
ValueCountFrequency (%)
1428 1
1.0%
1371 1
1.0%
1369 1
1.0%
1340 1
1.0%
1318 1
1.0%
1317 1
1.0%
1309 1
1.0%
1276 1
1.0%
1263 1
1.0%
1249 1
1.0%

남구 여
Real number (ℝ)

Distinct95
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean776.17822
Minimum10
Maximum1697
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:13.259692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile47
Q1420
median847
Q31069
95-th percentile1405
Maximum1697
Range1687
Interquartile range (IQR)649

Descriptive statistics

Standard deviation427.15354
Coefficient of variation (CV)0.5503292
Kurtosis-0.91519142
Mean776.17822
Median Absolute Deviation (MAD)374
Skewness-0.12638582
Sum78394
Variance182460.15
MonotonicityNot monotonic
2023-09-29T01:17:14.486392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1069 2
 
2.0%
21 2
 
2.0%
1028 2
 
2.0%
1221 2
 
2.0%
420 2
 
2.0%
1414 2
 
2.0%
1405 1
 
1.0%
1217 1
 
1.0%
1314 1
 
1.0%
871 1
 
1.0%
Other values (85) 85
84.2%
ValueCountFrequency (%)
10 1
1.0%
18 1
1.0%
21 2
2.0%
46 1
1.0%
47 1
1.0%
53 1
1.0%
55 1
1.0%
88 1
1.0%
109 1
1.0%
144 1
1.0%
ValueCountFrequency (%)
1697 1
1.0%
1607 1
1.0%
1518 1
1.0%
1414 2
2.0%
1405 1
1.0%
1385 1
1.0%
1371 1
1.0%
1369 1
1.0%
1314 1
1.0%
1285 1
1.0%

북구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4362.1287
Minimum16
Maximum8848
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:15.822577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile75
Q12460
median4427
Q36530
95-th percentile8178
Maximum8848
Range8832
Interquartile range (IQR)4070

Descriptive statistics

Standard deviation2573.3088
Coefficient of variation (CV)0.58992041
Kurtosis-1.0157372
Mean4362.1287
Median Absolute Deviation (MAD)2103
Skewness-0.22149263
Sum440575
Variance6621918
MonotonicityNot monotonic
2023-09-29T01:17:17.032536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2834 1
 
1.0%
4216 1
 
1.0%
2595 1
 
1.0%
2460 1
 
1.0%
1903 1
 
1.0%
3011 1
 
1.0%
3394 1
 
1.0%
3656 1
 
1.0%
3528 1
 
1.0%
3321 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
16 1
1.0%
32 1
1.0%
42 1
1.0%
47 1
1.0%
68 1
1.0%
75 1
1.0%
90 1
1.0%
125 1
1.0%
150 1
1.0%
222 1
1.0%
ValueCountFrequency (%)
8848 1
1.0%
8643 1
1.0%
8470 1
1.0%
8417 1
1.0%
8323 1
1.0%
8178 1
1.0%
8118 1
1.0%
7902 1
1.0%
7870 1
1.0%
7857 1
1.0%

북구 남
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2178.1683
Minimum3
Maximum4426
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:18.742658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile13
Q11003
median2275
Q33323
95-th percentile4031
Maximum4426
Range4423
Interquartile range (IQR)2320

Descriptive statistics

Standard deviation1349.2323
Coefficient of variation (CV)0.61943434
Kurtosis-1.1798358
Mean2178.1683
Median Absolute Deviation (MAD)1101
Skewness-0.27034792
Sum219995
Variance1820427.7
MonotonicityNot monotonic
2023-09-29T01:17:21.560694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1434 1
 
1.0%
2063 1
 
1.0%
1049 1
 
1.0%
1003 1
 
1.0%
857 1
 
1.0%
1356 1
 
1.0%
1517 1
 
1.0%
1626 1
 
1.0%
1643 1
 
1.0%
1540 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
3 1
1.0%
4 1
1.0%
7 1
1.0%
10 1
1.0%
12 1
1.0%
13 1
1.0%
16 1
1.0%
24 1
1.0%
34 1
1.0%
49 1
1.0%
ValueCountFrequency (%)
4426 1
1.0%
4249 1
1.0%
4205 1
1.0%
4176 1
1.0%
4054 1
1.0%
4031 1
1.0%
3983 1
1.0%
3956 1
1.0%
3934 1
1.0%
3929 1
1.0%

북구 여
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2183.9604
Minimum13
Maximum4422
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:23.480449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile63
Q11400
median2204
Q33125
95-th percentile4189
Maximum4422
Range4409
Interquartile range (IQR)1725

Descriptive statistics

Standard deviation1237.9428
Coefficient of variation (CV)0.56683388
Kurtosis-0.82181721
Mean2183.9604
Median Absolute Deviation (MAD)868
Skewness-0.14046688
Sum220580
Variance1532502.3
MonotonicityNot monotonic
2023-09-29T01:17:23.984544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1400 1
 
1.0%
2153 1
 
1.0%
1546 1
 
1.0%
1457 1
 
1.0%
1046 1
 
1.0%
1655 1
 
1.0%
1877 1
 
1.0%
2030 1
 
1.0%
1885 1
 
1.0%
1781 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
13 1
1.0%
28 1
1.0%
35 1
1.0%
37 1
1.0%
52 1
1.0%
63 1
1.0%
77 1
1.0%
91 1
1.0%
126 1
1.0%
167 1
1.0%
ValueCountFrequency (%)
4422 1
1.0%
4394 1
1.0%
4269 1
1.0%
4265 1
1.0%
4241 1
1.0%
4189 1
1.0%
4147 1
1.0%
3936 1
1.0%
3919 1
1.0%
3901 1
1.0%

수성구 계
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4314.0099
Minimum17
Maximum9239
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:24.946758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile97
Q12278
median4322
Q36265
95-th percentile8481
Maximum9239
Range9222
Interquartile range (IQR)3987

Descriptive statistics

Standard deviation2572.6927
Coefficient of variation (CV)0.59635762
Kurtosis-0.93882535
Mean4314.0099
Median Absolute Deviation (MAD)2034
Skewness-0.062845093
Sum435715
Variance6618747.5
MonotonicityNot monotonic
2023-09-29T01:17:25.843743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1788 1
 
1.0%
4278 1
 
1.0%
2802 1
 
1.0%
2556 1
 
1.0%
1965 1
 
1.0%
3254 1
 
1.0%
3501 1
 
1.0%
3630 1
 
1.0%
3714 1
 
1.0%
3461 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
17 1
1.0%
29 1
1.0%
41 1
1.0%
78 1
1.0%
79 1
1.0%
97 1
1.0%
107 1
1.0%
164 1
1.0%
220 1
1.0%
299 1
1.0%
ValueCountFrequency (%)
9239 1
1.0%
9184 1
1.0%
9015 1
1.0%
8914 1
1.0%
8639 1
1.0%
8481 1
1.0%
8162 1
1.0%
7901 1
1.0%
7632 1
1.0%
7607 1
1.0%

수성구 남
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2099.7426
Minimum4
Maximum4471
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:26.544019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile24
Q1983
median2177
Q33221
95-th percentile3928
Maximum4471
Range4467
Interquartile range (IQR)2238

Descriptive statistics

Standard deviation1299.9546
Coefficient of variation (CV)0.61910188
Kurtosis-1.121878
Mean2099.7426
Median Absolute Deviation (MAD)1104
Skewness-0.14040753
Sum212074
Variance1689881.9
MonotonicityNot monotonic
2023-09-29T01:17:27.545743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
913 1
 
1.0%
2017 1
 
1.0%
1207 1
 
1.0%
1128 1
 
1.0%
925 1
 
1.0%
1421 1
 
1.0%
1574 1
 
1.0%
1619 1
 
1.0%
1727 1
 
1.0%
1590 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
4 1
1.0%
5 1
1.0%
6 1
1.0%
15 1
1.0%
23 1
1.0%
24 1
1.0%
27 1
1.0%
38 1
1.0%
47 1
1.0%
87 1
1.0%
ValueCountFrequency (%)
4471 1
1.0%
4298 1
1.0%
4212 1
1.0%
4127 1
1.0%
4116 1
1.0%
3928 1
1.0%
3898 1
1.0%
3874 1
1.0%
3765 1
1.0%
3750 1
1.0%

수성구 여
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2214.2673
Minimum13
Maximum4941
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:28.434881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile73
Q11311
median2227
Q33096
95-th percentile4570
Maximum4941
Range4928
Interquartile range (IQR)1785

Descriptive statistics

Standard deviation1298.0408
Coefficient of variation (CV)0.58621682
Kurtosis-0.67549929
Mean2214.2673
Median Absolute Deviation (MAD)901
Skewness0.094985103
Sum223641
Variance1684909.8
MonotonicityNot monotonic
2023-09-29T01:17:29.208685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1767 2
 
2.0%
2227 2
 
2.0%
875 1
 
1.0%
2488 1
 
1.0%
1595 1
 
1.0%
1428 1
 
1.0%
1040 1
 
1.0%
1833 1
 
1.0%
1927 1
 
1.0%
2011 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
13 1
1.0%
24 1
1.0%
35 1
1.0%
55 1
1.0%
64 1
1.0%
73 1
1.0%
80 1
1.0%
126 1
1.0%
173 1
1.0%
212 1
1.0%
ValueCountFrequency (%)
4941 1
1.0%
4803 1
1.0%
4787 1
1.0%
4765 1
1.0%
4713 1
1.0%
4570 1
1.0%
4365 1
1.0%
4175 1
1.0%
4003 1
1.0%
3929 1
1.0%

달서구 계
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5692.505
Minimum19
Maximum11584
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:29.772573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile91
Q12864
median5966
Q38508
95-th percentile10870
Maximum11584
Range11565
Interquartile range (IQR)5644

Descriptive statistics

Standard deviation3468.4612
Coefficient of variation (CV)0.60930314
Kurtosis-1.1197548
Mean5692.505
Median Absolute Deviation (MAD)2743
Skewness-0.16275603
Sum574943
Variance12030223
MonotonicityNot monotonic
2023-09-29T01:17:30.854912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8013 2
 
2.0%
3257 1
 
1.0%
2577 1
 
1.0%
3471 1
 
1.0%
2964 1
 
1.0%
2864 1
 
1.0%
2322 1
 
1.0%
3798 1
 
1.0%
4223 1
 
1.0%
4534 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
19 1
1.0%
25 1
1.0%
37 1
1.0%
68 1
1.0%
69 1
1.0%
91 1
1.0%
100 1
1.0%
155 1
1.0%
190 1
1.0%
254 1
1.0%
ValueCountFrequency (%)
11584 1
1.0%
11430 1
1.0%
11145 1
1.0%
10955 1
1.0%
10871 1
1.0%
10870 1
1.0%
10729 1
1.0%
10631 1
1.0%
10481 1
1.0%
10456 1
1.0%

달서구 남
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2823.9109
Minimum3
Maximum5554
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:31.736740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile18
Q11235
median2887
Q34317
95-th percentile5184
Maximum5554
Range5551
Interquartile range (IQR)3082

Descriptive statistics

Standard deviation1777.9086
Coefficient of variation (CV)0.62959088
Kurtosis-1.2505014
Mean2823.9109
Median Absolute Deviation (MAD)1576
Skewness-0.25921654
Sum285215
Variance3160958.8
MonotonicityNot monotonic
2023-09-29T01:17:32.710913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1745 1
 
1.0%
2713 1
 
1.0%
1235 1
 
1.0%
1275 1
 
1.0%
1079 1
 
1.0%
1786 1
 
1.0%
1974 1
 
1.0%
2116 1
 
1.0%
2181 1
 
1.0%
2135 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
3 1
1.0%
4 1
1.0%
8 1
1.0%
12 1
1.0%
13 1
1.0%
18 1
1.0%
28 1
1.0%
35 1
1.0%
37 1
1.0%
62 1
1.0%
ValueCountFrequency (%)
5554 1
1.0%
5552 1
1.0%
5476 1
1.0%
5390 1
1.0%
5230 1
1.0%
5184 1
1.0%
5174 1
1.0%
5085 1
1.0%
5069 1
1.0%
5067 1
1.0%

달서구 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2868.5941
Minimum16
Maximum6032
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:34.306506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile72
Q11552
median2878
Q34107
95-th percentile5640
Maximum6032
Range6016
Interquartile range (IQR)2555

Descriptive statistics

Standard deviation1710.7469
Coefficient of variation (CV)0.5963712
Kurtosis-0.94164542
Mean2868.5941
Median Absolute Deviation (MAD)1289
Skewness-0.024235679
Sum289728
Variance2926654.9
MonotonicityNot monotonic
2023-09-29T01:17:35.489212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
56 2
 
2.0%
1512 1
 
1.0%
3781 1
 
1.0%
1589 1
 
1.0%
1243 1
 
1.0%
2012 1
 
1.0%
2249 1
 
1.0%
2418 1
 
1.0%
2330 1
 
1.0%
2256 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
16 1
1.0%
21 1
1.0%
29 1
1.0%
56 2
2.0%
72 1
1.0%
73 1
1.0%
120 1
1.0%
153 1
1.0%
192 1
1.0%
273 1
1.0%
ValueCountFrequency (%)
6032 1
1.0%
5876 1
1.0%
5755 1
1.0%
5687 1
1.0%
5644 1
1.0%
5640 1
1.0%
5562 1
1.0%
5479 1
1.0%
5407 1
1.0%
5389 1
1.0%

달성군 계
Real number (ℝ)

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2450.099
Minimum8
Maximum5163
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:36.270557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile39
Q11130
median2739
Q33777
95-th percentile4318
Maximum5163
Range5155
Interquartile range (IQR)2647

Descriptive statistics

Standard deviation1460.6925
Coefficient of variation (CV)0.59617693
Kurtosis-1.0366604
Mean2450.099
Median Absolute Deviation (MAD)1139
Skewness-0.24848061
Sum247460
Variance2133622.6
MonotonicityNot monotonic
2023-09-29T01:17:37.231016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3867 2
 
2.0%
3050 2
 
2.0%
2403 1
 
1.0%
1363 1
 
1.0%
1200 1
 
1.0%
1130 1
 
1.0%
980 1
 
1.0%
1383 1
 
1.0%
1655 1
 
1.0%
1818 1
 
1.0%
Other values (89) 89
88.1%
ValueCountFrequency (%)
8 1
1.0%
13 1
1.0%
19 1
1.0%
26 1
1.0%
28 1
1.0%
39 1
1.0%
52 1
1.0%
64 1
1.0%
89 1
1.0%
151 1
1.0%
ValueCountFrequency (%)
5163 1
1.0%
5142 1
1.0%
4986 1
1.0%
4946 1
1.0%
4358 1
1.0%
4318 1
1.0%
4275 1
1.0%
4241 1
1.0%
4230 1
1.0%
4218 1
1.0%

달성군 남
Real number (ℝ)

Distinct97
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1246.9406
Minimum0
Maximum2712
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:38.325333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q1490
median1400
Q31880
95-th percentile2207
Maximum2712
Range2712
Interquartile range (IQR)1390

Descriptive statistics

Standard deviation783.22661
Coefficient of variation (CV)0.62811862
Kurtosis-1.1298412
Mean1246.9406
Median Absolute Deviation (MAD)594
Skewness-0.27324512
Sum125941
Variance613443.92
MonotonicityNot monotonic
2023-09-29T01:17:39.067277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 2
 
2.0%
1693 2
 
2.0%
2167 2
 
2.0%
1137 2
 
2.0%
1379 1
 
1.0%
1066 1
 
1.0%
493 1
 
1.0%
537 1
 
1.0%
490 1
 
1.0%
647 1
 
1.0%
Other values (87) 87
86.1%
ValueCountFrequency (%)
0 1
1.0%
2 1
1.0%
4 1
1.0%
7 1
1.0%
8 2
2.0%
9 1
1.0%
16 1
1.0%
20 1
1.0%
26 1
1.0%
38 1
1.0%
ValueCountFrequency (%)
2712 1
1.0%
2699 1
1.0%
2574 1
1.0%
2464 1
1.0%
2249 1
1.0%
2207 1
1.0%
2180 1
1.0%
2174 1
1.0%
2167 2
2.0%
2159 1
1.0%

달성군 여
Real number (ℝ)

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1203.1584
Minimum6
Maximum2482
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-09-29T01:17:39.998880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile32
Q1700
median1270
Q31800
95-th percentile2144
Maximum2482
Range2476
Interquartile range (IQR)1100

Descriptive statistics

Standard deviation683.45605
Coefficient of variation (CV)0.56805159
Kurtosis-0.91618041
Mean1203.1584
Median Absolute Deviation (MAD)563
Skewness-0.2092041
Sum121519
Variance467112.17
MonotonicityNot monotonic
2023-09-29T01:17:40.893837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1920 2
 
2.0%
1356 1
 
1.0%
1057 1
 
1.0%
707 1
 
1.0%
593 1
 
1.0%
490 1
 
1.0%
736 1
 
1.0%
849 1
 
1.0%
919 1
 
1.0%
909 1
 
1.0%
Other values (90) 90
89.1%
ValueCountFrequency (%)
6 1
1.0%
13 1
1.0%
15 1
1.0%
18 1
1.0%
20 1
1.0%
32 1
1.0%
43 1
1.0%
48 1
1.0%
69 1
1.0%
125 1
1.0%
ValueCountFrequency (%)
2482 1
1.0%
2464 1
1.0%
2430 1
1.0%
2412 1
1.0%
2151 1
1.0%
2144 1
1.0%
2123 1
1.0%
2095 1
1.0%
2074 1
1.0%
2005 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
00세14737756471735162762402298117011287163483685932992942834143414001788913875325717451512273513791356
11세1765590528603620319301276614191347886448438729360369339216901702227811861092385020351815313415951539
22세195801001295686153153002994148515091009532477778405373373919071832271514041311441923092110331116551656
33세20125102659860637307330312516521473952488464773387386383519881847286114171444469323942299324916321617
44세197091000897015552782772953149614571013523490819417402379519321863309516021493447822612217300114991502
55세2153611105104316183402783129162815011105534571859432427409020951995353618281708499825442454320117041497
66세2172511031106945773082693154163115231033539494820429391405720841973387319341939516125702591305015361514
77세2220711474107335622872753059159814611108565543849453396411221431969418021512029536327682595297415091465
88세20350105629788508283225286014971363901456445751381370377419311843392020381882506826342434256813421226
99세2095210875100774832522312746143613101004499505870448422391219911921432222732049508326752408253213011231
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
9191세1560359120190177325954205141231181443510922255167299872122546219215126125
9292세1048210838481434158311278618681071988150241262204717319037153892069
9393세85619566142933164381267396469165312534911643812615535120641648
9494세578118460359261061690601050569477512631072780100287239732
9595세514105409337266612544163563174690137778235591187352943
9696세367692982121968959297222762147103779156468125628820
9797세2334818521417321319173142432142735416353782919415
9898세18330153146835629142122131832428295242542113013
9999세115288761523716124814410163131741319316826
100100세 이상619137482891673108238591217071165568165297247369135626818