Overview

Dataset statistics

Number of variables28
Number of observations131
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory32.4 KiB
Average record size in memory253.0 B

Variable types

Numeric28

Dataset

Description파일 다운로드
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-12053/F/1/datasetView.do

Alerts

영등포구 has unique valuesUnique
마포구 has unique valuesUnique
타시도 has 12 (9.2%) zerosZeros

Reproduction

Analysis started2024-04-21 18:38:05.377458
Analysis finished2024-04-21 18:38:05.722658
Duration0.35 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년도
Real number (ℝ)

Distinct12
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2017.542
Minimum2012
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-22T03:38:05.875911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2012
5-th percentile2013
Q12015
median2018
Q32020
95-th percentile2022
Maximum2023
Range11
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.1895491
Coefficient of variation (CV)0.0015809084
Kurtosis-1.1591931
Mean2017.542
Median Absolute Deviation (MAD)3
Skewness-5.0923046 × 10-5
Sum264298
Variance10.173224
MonotonicityIncreasing
2024-04-22T03:38:06.245845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2013 12
9.2%
2014 12
9.2%
2015 12
9.2%
2016 12
9.2%
2017 12
9.2%
2018 12
9.2%
2019 12
9.2%
2020 12
9.2%
2021 12
9.2%
2022 12
9.2%
Other values (2) 11
8.4%
ValueCountFrequency (%)
2012 5
3.8%
2013 12
9.2%
2014 12
9.2%
2015 12
9.2%
2016 12
9.2%
2017 12
9.2%
2018 12
9.2%
2019 12
9.2%
2020 12
9.2%
2021 12
9.2%
ValueCountFrequency (%)
2023 6
4.6%
2022 12
9.2%
2021 12
9.2%
2020 12
9.2%
2019 12
9.2%
2018 12
9.2%
2017 12
9.2%
2016 12
9.2%
2015 12
9.2%
2014 12
9.2%

월
Real number (ℝ)

Distinct12
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.4961832
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-22T03:38:06.594237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13.5
median6
Q39.5
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.4782269
Coefficient of variation (CV)0.53542623
Kurtosis-1.2307427
Mean6.4961832
Median Absolute Deviation (MAD)3
Skewness0.0033198527
Sum851
Variance12.098062
MonotonicityNot monotonic
2024-04-22T03:38:06.953504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
8 11
8.4%
9 11
8.4%
10 11
8.4%
11 11
8.4%
12 11
8.4%
1 11
8.4%
2 11
8.4%
3 11
8.4%
4 11
8.4%
5 11
8.4%
Other values (2) 21
16.0%
ValueCountFrequency (%)
1 11
8.4%
2 11
8.4%
3 11
8.4%
4 11
8.4%
5 11
8.4%
6 11
8.4%
7 10
7.6%
8 11
8.4%
9 11
8.4%
10 11
8.4%
ValueCountFrequency (%)
12 11
8.4%
11 11
8.4%
10 11
8.4%
9 11
8.4%
8 11
8.4%
7 10
7.6%
6 11
8.4%
5 11
8.4%
4 11
8.4%
3 11
8.4%

송파구
Real number (ℝ)

Distinct129
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2082.687
Minimum4
Maximum7783
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-22T03:38:07.273798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile63.5
Q11106
median2104
Q33061.5
95-th percentile4009
Maximum7783
Range7779
Interquartile range (IQR)1955.5

Descriptive statistics

Standard deviation1459.9063
Coefficient of variation (CV)0.70097247
Kurtosis1.9232059
Mean2082.687
Median Absolute Deviation (MAD)974
Skewness0.89358741
Sum272832
Variance2131326.3
MonotonicityNot monotonic
2024-04-22T03:38:07.540210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
79 2
 
1.5%
734 2
 
1.5%
2656 1
 
0.8%
2518 1
 
0.8%
2114 1
 
0.8%
2118 1
 
0.8%
2111 1
 
0.8%
2247 1
 
0.8%
2688 1
 
0.8%
4 1
 
0.8%
Other values (119) 119
90.8%
ValueCountFrequency (%)
4 1
0.8%
7 1
0.8%
11 1
0.8%
12 1
0.8%
23 1
0.8%
42 1
0.8%
53 1
0.8%
74 1
0.8%
79 2
1.5%
112 1
0.8%
ValueCountFrequency (%)
7783 1
0.8%
7561 1
0.8%
5929 1
0.8%
5056 1
0.8%
4430 1
0.8%
4121 1
0.8%
4028 1
0.8%
3990 1
0.8%
3926 1
0.8%
3911 1
0.8%

성동구
Real number (ℝ)

Distinct122
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1258.3282
Minimum6
Maximum2977
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-22T03:38:07.801689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile47
Q1674
median1450
Q31728.5
95-th percentile2569.5
Maximum2977
Range2971
Interquartile range (IQR)1054.5

Descriptive statistics

Standard deviation747.83577
Coefficient of variation (CV)0.59430898
Kurtosis-0.57408179
Mean1258.3282
Median Absolute Deviation (MAD)362
Skewness-0.14447159
Sum164841
Variance559258.35
MonotonicityNot monotonic
2024-04-22T03:38:08.047294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 2
 
1.5%
836 2
 
1.5%
1526 2
 
1.5%
1739 2
 
1.5%
1481 2
 
1.5%
1520 2
 
1.5%
1039 2
 
1.5%
1555 2
 
1.5%
76 2
 
1.5%
1476 1
 
0.8%
Other values (112) 112
85.5%
ValueCountFrequency (%)
6 2
1.5%
12 1
0.8%
15 1
0.8%
16 1
0.8%
33 1
0.8%
45 1
0.8%
49 1
0.8%
52 1
0.8%
53 1
0.8%
58 1
0.8%
ValueCountFrequency (%)
2977 1
0.8%
2912 1
0.8%
2759 1
0.8%
2659 1
0.8%
2658 1
0.8%
2577 1
0.8%
2570 1
0.8%
2569 1
0.8%
2565 1
0.8%
2342 1
0.8%

영등포구
Real number (ℝ)

UNIQUE 

Distinct131
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2560.4275
Minimum18
Maximum9515
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-22T03:38:08.308570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile60.5
Q11428.5
median2565
Q33767.5
95-th percentile4556
Maximum9515
Range9497
Interquartile range (IQR)2339

Descriptive statistics

Standard deviation1598.8779
Coefficient of variation (CV)0.62445741
Kurtosis1.4531341
Mean2560.4275
Median Absolute Deviation (MAD)1209
Skewness0.40874959
Sum335416
Variance2556410.6
MonotonicityNot monotonic
2024-04-22T03:38:08.729780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28 1
 
0.8%
3707 1
 
0.8%
4090 1
 
0.8%
4164 1
 
0.8%
4562 1
 
0.8%
4285 1
 
0.8%
4082 1
 
0.8%
3743 1
 
0.8%
2837 1
 
0.8%
2496 1
 
0.8%
Other values (121) 121
92.4%
ValueCountFrequency (%)
18 1
0.8%
19 1
0.8%
25 1
0.8%
28 1
0.8%
42 1
0.8%
48 1
0.8%
51 1
0.8%
70 1
0.8%
75 1
0.8%
79 1
0.8%
ValueCountFrequency (%)
9515 1
0.8%
5847 1
0.8%
5574 1
0.8%
5298 1
0.8%
4970 1
0.8%
4819 1
0.8%
4562 1
0.8%
4550 1
0.8%
4432 1
0.8%
4425 1
0.8%

중랑구
Real number (ℝ)

Distinct126
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean881.53435
Minimum4
Maximum1932
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-22T03:38:09.141186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile35
Q1524.5
median868
Q31321.5
95-th percentile1640
Maximum1932
Range1928
Interquartile range (IQR)797

Descriptive statistics

Standard deviation525.4602
Coefficient of variation (CV)0.59607456
Kurtosis-1.01663
Mean881.53435
Median Absolute Deviation (MAD)401
Skewness-0.16250376
Sum115481
Variance276108.42
MonotonicityNot monotonic
2024-04-22T03:38:09.835639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 2
 
1.5%
46 2
 
1.5%
792 2
 
1.5%
955 2
 
1.5%
545 2
 
1.5%
1528 1
 
0.8%
1251 1
 
0.8%
1386 1
 
0.8%
1675 1
 
0.8%
1543 1
 
0.8%
Other values (116) 116
88.5%
ValueCountFrequency (%)
4 1
0.8%
5 2
1.5%
9 1
0.8%
11 1
0.8%
18 1
0.8%
33 1
0.8%
37 1
0.8%
41 1
0.8%
42 1
0.8%
46 2
1.5%
ValueCountFrequency (%)
1932 1
0.8%
1855 1
0.8%
1693 1
0.8%
1688 1
0.8%
1675 1
0.8%
1658 1
0.8%
1653 1
0.8%
1627 1
0.8%
1620 1
0.8%
1619 1
0.8%

용산구
Real number (ℝ)

Distinct126
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2004.9847
Minimum5
Maximum10684
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-22T03:38:10.226853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile53
Q1746
median2125
Q32997.5
95-th percentile4211.5
Maximum10684
Range10679
Interquartile range (IQR)2251.5

Descriptive statistics

Standard deviation1551.6167
Coefficient of variation (CV)0.77387958
Kurtosis5.9721094
Mean2004.9847
Median Absolute Deviation (MAD)1193
Skewness1.3574153
Sum262653
Variance2407514.5
MonotonicityNot monotonic
2024-04-22T03:38:10.474294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 3
 
2.3%
3107 2
 
1.5%
776 2
 
1.5%
53 2
 
1.5%
2416 1
 
0.8%
2831 1
 
0.8%
2666 1
 
0.8%
2563 1
 
0.8%
2280 1
 
0.8%
2899 1
 
0.8%
Other values (116) 116
88.5%
ValueCountFrequency (%)
5 3
2.3%
10 1
 
0.8%
13 1
 
0.8%
25 1
 
0.8%
53 2
1.5%
54 1
 
0.8%
56 1
 
0.8%
59 1
 
0.8%
63 1
 
0.8%
66 1
 
0.8%
ValueCountFrequency (%)
10684 1
0.8%
5172 1
0.8%
4663 1
0.8%
4507 1
0.8%
4377 1
0.8%
4341 1
0.8%
4308 1
0.8%
4115 1
0.8%
4012 1
0.8%
3957 1
0.8%

서초구
Real number (ℝ)

Distinct129
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2992.8092
Minimum5
Maximum26964
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-22T03:38:10.718240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile55.5
Q11045.5
median2373
Q33798.5
95-th percentile7107.5
Maximum26964
Range26959
Interquartile range (IQR)2753

Descriptive statistics

Standard deviation3448.0869
Coefficient of variation (CV)1.1521239
Kurtosis22.873395
Mean2992.8092
Median Absolute Deviation (MAD)1370
Skewness3.9219826
Sum392058
Variance11889303
MonotonicityNot monotonic
2024-04-22T03:38:10.969570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 2
 
1.5%
302 2
 
1.5%
3195 1
 
0.8%
3716 1
 
0.8%
3901 1
 
0.8%
3905 1
 
0.8%
3436 1
 
0.8%
2936 1
 
0.8%
1756 1
 
0.8%
1515 1
 
0.8%
Other values (119) 119
90.8%
ValueCountFrequency (%)
5 1
0.8%
12 2
1.5%
16 1
0.8%
19 1
0.8%
25 1
0.8%
50 1
0.8%
61 1
0.8%
63 1
0.8%
71 1
0.8%
101 1
0.8%
ValueCountFrequency (%)
26964 1
0.8%
21517 1
0.8%
8646 1
0.8%
8341 1
0.8%
8339 1
0.8%
7527 1
0.8%
7351 1
0.8%
6864 1
0.8%
6700 1
0.8%
6603 1
0.8%

강남구
Real number (ℝ)

Distinct128
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3436.3435
Minimum13
Maximum34645
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-22T03:38:11.208426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile45.5
Q1801
median2984
Q34312.5
95-th percentile8884.5
Maximum34645
Range34632
Interquartile range (IQR)3511.5

Descriptive statistics

Standard deviation4283.939
Coefficient of variation (CV)1.2466562
Kurtosis24.830881
Mean3436.3435
Median Absolute Deviation (MAD)1865
Skewness4.1740386
Sum450161
Variance18352133
MonotonicityNot monotonic
2024-04-22T03:38:11.462431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 2
 
1.5%
941 2
 
1.5%
1687 2
 
1.5%
3280 1
 
0.8%
4615 1
 
0.8%
3409 1
 
0.8%
3260 1
 
0.8%
4096 1
 
0.8%
4636 1
 
0.8%
5243 1
 
0.8%
Other values (118) 118
90.1%
ValueCountFrequency (%)
13 1
0.8%
15 2
1.5%
22 1
0.8%
23 1
0.8%
41 1
0.8%
45 1
0.8%
46 1
0.8%
75 1
0.8%
94 1
0.8%
133 1
0.8%
ValueCountFrequency (%)
34645 1
0.8%
23764 1
0.8%
15784 1
0.8%
13929 1
0.8%
10293 1
0.8%
10097 1
0.8%
9373 1
0.8%
8396 1
0.8%
8064 1
0.8%
8001 1
0.8%

강서구
Real number (ℝ)

Distinct129
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2486.9237
Minimum2
Maximum10115
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-22T03:38:11.728899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile44.5
Q1943
median2220
Q33433
95-th percentile5690
Maximum10115
Range10113
Interquartile range (IQR)2490

Descriptive statistics

Standard deviation1959.2142
Coefficient of variation (CV)0.78780631
Kurtosis1.2669416
Mean2486.9237
Median Absolute Deviation (MAD)1275
Skewness0.96028423
Sum325787
Variance3838520.1
MonotonicityNot monotonic
2024-04-22T03:38:11.979852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
116 2
 
1.5%
58 2
 
1.5%
2 1
 
0.8%
2608 1
 
0.8%
3168 1
 
0.8%
2658 1
 
0.8%
2845 1
 
0.8%
2306 1
 
0.8%
2445 1
 
0.8%
2467 1
 
0.8%
Other values (119) 119
90.8%
ValueCountFrequency (%)
2 1
0.8%
9 1
0.8%
10 1
0.8%
13 1
0.8%
14 1
0.8%
41 1
0.8%
43 1
0.8%
46 1
0.8%
58 2
1.5%
66 1
0.8%
ValueCountFrequency (%)
10115 1
0.8%
8303 1
0.8%
8217 1
0.8%
6258 1
0.8%
6171 1
0.8%
5854 1
0.8%
5845 1
0.8%
5535 1
0.8%
5439 1
0.8%
5265 1
0.8%

마포구
Real number (ℝ)

UNIQUE 

Distinct131
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2537.2137
Minimum5
Maximum6790
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-22T03:38:12.219808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile51.5
Q1726
median2466
Q33817.5
95-th percentile6039
Maximum6790
Range6785
Interquartile range (IQR)3091.5

Descriptive statistics

Standard deviation1897.3132
Coefficient of variation (CV)0.74779401
Kurtosis-0.86839726
Mean2537.2137
Median Absolute Deviation (MAD)1625
Skewness0.37801103
Sum332375
Variance3599797.5
MonotonicityNot monotonic
2024-04-22T03:38:12.470071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 1
 
0.8%
3393 1
 
0.8%
4167 1
 
0.8%
4091 1
 
0.8%
4505 1
 
0.8%
4172 1
 
0.8%
4205 1
 
0.8%
3243 1
 
0.8%
3277 1
 
0.8%
2622 1
 
0.8%
Other values (121) 121
92.4%
ValueCountFrequency (%)
5 1
0.8%
22 1
0.8%
26 1
0.8%
27 1
0.8%
34 1
0.8%
38 1
0.8%
43 1
0.8%
60 1
0.8%
72 1
0.8%
91 1
0.8%
ValueCountFrequency (%)
6790 1
0.8%
6691 1
0.8%
6386 1
0.8%
6367 1
0.8%
6331 1
0.8%
6227 1
0.8%
6123 1
0.8%
5955 1
0.8%
5779 1
0.8%
5729 1
0.8%

종로구
Real number (ℝ)

Distinct130
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1707.5191
Minimum7
Maximum7950
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-22T03:38:12.726175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile49.5
Q1618
median1546
Q32804
95-th percentile3533.5
Maximum7950
Range7943
Interquartile range (IQR)2186

Descriptive statistics

Standard deviation1312.7482
Coefficient of variation (CV)0.7688044
Kurtosis2.3345016
Mean1707.5191
Median Absolute Deviation (MAD)1063
Skewness0.93524605
Sum223685
Variance1723307.8
MonotonicityNot monotonic
2024-04-22T03:38:12.994391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1064 2
 
1.5%
7 1
 
0.8%
3541 1
 
0.8%
2793 1
 
0.8%
2499 1
 
0.8%
2999 1
 
0.8%
3896 1
 
0.8%
4291 1
 
0.8%
4031 1
 
0.8%
3292 1
 
0.8%
Other values (120) 120
91.6%
ValueCountFrequency (%)
7 1
0.8%
8 1
0.8%
13 1
0.8%
26 1
0.8%
37 1
0.8%
44 1
0.8%
49 1
0.8%
50 1
0.8%
58 1
0.8%
79 1
0.8%
ValueCountFrequency (%)
7950 1
0.8%
4291 1
0.8%
4031 1
0.8%
3991 1
0.8%
3938 1
0.8%
3896 1
0.8%
3541 1
0.8%
3526 1
0.8%
3486 1
0.8%
3409 1
0.8%

강동구
Real number (ℝ)

Distinct126
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1515.626
Minimum3
Maximum3686
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-22T03:38:13.256737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile39
Q1677.5
median1659
Q32303.5
95-th percentile2943
Maximum3686
Range3683
Interquartile range (IQR)1626

Descriptive statistics

Standard deviation964.11218
Coefficient of variation (CV)0.63611485
Kurtosis-1.069667
Mean1515.626
Median Absolute Deviation (MAD)758
Skewness0.01460752
Sum198547
Variance929512.3
MonotonicityNot monotonic
2024-04-22T03:38:13.508006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 2
 
1.5%
495 2
 
1.5%
2251 2
 
1.5%
2348 2
 
1.5%
3 2
 
1.5%
2635 1
 
0.8%
3238 1
 
0.8%
2337 1
 
0.8%
2464 1
 
0.8%
3095 1
 
0.8%
Other values (116) 116
88.5%
ValueCountFrequency (%)
3 2
1.5%
4 2
1.5%
8 1
0.8%
18 1
0.8%
38 1
0.8%
40 1
0.8%
50 1
0.8%
54 1
0.8%
92 1
0.8%
131 1
0.8%
ValueCountFrequency (%)
3686 1
0.8%
3625 1
0.8%
3399 1
0.8%
3256 1
0.8%
3238 1
0.8%
3098 1
0.8%
3095 1
0.8%
2791 1
0.8%
2774 1
0.8%
2682 1
0.8%

중구
Real number (ℝ)

Distinct129
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1539.9771
Minimum7
Maximum3350
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-22T03:38:13.761552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile63.5
Q1598.5
median1485
Q32444
95-th percentile3113.5
Maximum3350
Range3343
Interquartile range (IQR)1845.5

Descriptive statistics

Standard deviation1053.0598
Coefficient of variation (CV)0.68381525
Kurtosis-1.3409716
Mean1539.9771
Median Absolute Deviation (MAD)957
Skewness0.014901858
Sum201737
Variance1108935
MonotonicityNot monotonic
2024-04-22T03:38:14.014634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
123 2
 
1.5%
2148 2
 
1.5%
1790 1
 
0.8%
3205 1
 
0.8%
2729 1
 
0.8%
2661 1
 
0.8%
2139 1
 
0.8%
1897 1
 
0.8%
10 1
 
0.8%
2899 1
 
0.8%
Other values (119) 119
90.8%
ValueCountFrequency (%)
7 1
0.8%
10 1
0.8%
20 1
0.8%
28 1
0.8%
30 1
0.8%
48 1
0.8%
54 1
0.8%
73 1
0.8%
83 1
0.8%
84 1
0.8%
ValueCountFrequency (%)
3350 1
0.8%
3345 1
0.8%
3286 1
0.8%
3282 1
0.8%
3248 1
0.8%
3205 1
0.8%
3121 1
0.8%
3106 1
0.8%
3094 1
0.8%
3059 1
0.8%

광진구
Real number (ℝ)

Distinct128
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1634.1069
Minimum8
Maximum8477
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-22T03:38:14.273481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile46.5
Q1890
median1600
Q32219
95-th percentile3208.5
Maximum8477
Range8469
Interquartile range (IQR)1329

Descriptive statistics

Standard deviation1308.7415
Coefficient of variation (CV)0.800891
Kurtosis9.4815057
Mean1634.1069
Median Absolute Deviation (MAD)668
Skewness2.1650059
Sum214068
Variance1712804.3
MonotonicityNot monotonic
2024-04-22T03:38:14.508245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
56 3
 
2.3%
57 2
 
1.5%
8 1
 
0.8%
1775 1
 
0.8%
3152 1
 
0.8%
2191 1
 
0.8%
1670 1
 
0.8%
1634 1
 
0.8%
1622 1
 
0.8%
1921 1
 
0.8%
Other values (118) 118
90.1%
ValueCountFrequency (%)
8 1
0.8%
10 1
0.8%
12 1
0.8%
27 1
0.8%
29 1
0.8%
35 1
0.8%
46 1
0.8%
47 1
0.8%
52 1
0.8%
55 1
0.8%
ValueCountFrequency (%)
8477 1
0.8%
8228 1
0.8%
5585 1
0.8%
3994 1
0.8%
3438 1
0.8%
3286 1
0.8%
3265 1
0.8%
3152 1
0.8%
3020 1
0.8%
2999 1
0.8%

성북구
Real number (ℝ)

Distinct127
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1422.2061
Minimum2
Maximum3193
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-22T03:38:14.741421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile35
Q1372.5
median1777
Q32087
95-th percentile2371.5
Maximum3193
Range3191
Interquartile range (IQR)1714.5

Descriptive statistics

Standard deviation863.22505
Coefficient of variation (CV)0.60696199
Kurtosis-1.1216978
Mean1422.2061
Median Absolute Deviation (MAD)417
Skewness-0.52596383
Sum186309
Variance745157.49
MonotonicityNot monotonic
2024-04-22T03:38:14.986221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 2
 
1.5%
1963 2
 
1.5%
2156 2
 
1.5%
1792 2
 
1.5%
1529 1
 
0.8%
2341 1
 
0.8%
2164 1
 
0.8%
1990 1
 
0.8%
1658 1
 
0.8%
1573 1
 
0.8%
Other values (117) 117
89.3%
ValueCountFrequency (%)
2 2
1.5%
6 1
0.8%
12 1
0.8%
14 1
0.8%
19 1
0.8%
32 1
0.8%
38 1
0.8%
44 1
0.8%
64 1
0.8%
65 1
0.8%
ValueCountFrequency (%)
3193 1
0.8%
2998 1
0.8%
2625 1
0.8%
2432 1
0.8%
2419 1
0.8%
2374 1
0.8%
2372 1
0.8%
2371 1
0.8%
2364 1
0.8%
2352 1
0.8%

동대문구
Real number (ℝ)

Distinct124
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1337.9313
Minimum4
Maximum4205
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-22T03:38:15.493441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile31
Q1368
median1581
Q32108.5
95-th percentile2641.5
Maximum4205
Range4201
Interquartile range (IQR)1740.5

Descriptive statistics

Standard deviation936.69604
Coefficient of variation (CV)0.70010773
Kurtosis-0.87992404
Mean1337.9313
Median Absolute Deviation (MAD)759
Skewness0.08177413
Sum175269
Variance877399.48
MonotonicityNot monotonic
2024-04-22T03:38:15.738169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
64 3
 
2.3%
7 2
 
1.5%
1977 2
 
1.5%
2304 2
 
1.5%
2114 2
 
1.5%
1890 2
 
1.5%
2947 1
 
0.8%
3132 1
 
0.8%
1506 1
 
0.8%
1491 1
 
0.8%
Other values (114) 114
87.0%
ValueCountFrequency (%)
4 1
 
0.8%
5 1
 
0.8%
6 1
 
0.8%
7 2
1.5%
12 1
 
0.8%
29 1
 
0.8%
33 1
 
0.8%
47 1
 
0.8%
51 1
 
0.8%
64 3
2.3%
ValueCountFrequency (%)
4205 1
0.8%
3132 1
0.8%
2997 1
0.8%
2947 1
0.8%
2673 1
0.8%
2667 1
0.8%
2663 1
0.8%
2620 1
0.8%
2521 1
0.8%
2438 1
0.8%

관악구
Real number (ℝ)

Distinct129
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2884.1832
Minimum2
Maximum7335
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-22T03:38:15.979199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile32
Q11552.5
median3219
Q34330.5
95-th percentile4973
Maximum7335
Range7333
Interquartile range (IQR)2778

Descriptive statistics

Standard deviation1786.976
Coefficient of variation (CV)0.61957783
Kurtosis-1.0060695
Mean2884.1832
Median Absolute Deviation (MAD)1247
Skewness-0.3910653
Sum377828
Variance3193283.1
MonotonicityNot monotonic
2024-04-22T03:38:16.241192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
355 2
 
1.5%
4158 2
 
1.5%
10 1
 
0.8%
4101 1
 
0.8%
4897 1
 
0.8%
4651 1
 
0.8%
4892 1
 
0.8%
4275 1
 
0.8%
4366 1
 
0.8%
4389 1
 
0.8%
Other values (119) 119
90.8%
ValueCountFrequency (%)
2 1
0.8%
5 1
0.8%
9 1
0.8%
10 1
0.8%
19 1
0.8%
20 1
0.8%
29 1
0.8%
35 1
0.8%
45 1
0.8%
65 1
0.8%
ValueCountFrequency (%)
7335 1
0.8%
5694 1
0.8%
5172 1
0.8%
5082 1
0.8%
5081 1
0.8%
5031 1
0.8%
4989 1
0.8%
4957 1
0.8%
4949 1
0.8%
4926 1
0.8%

동작구
Real number (ℝ)

Distinct124
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean998.24427
Minimum0
Maximum2301
Zeros1
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-22T03:38:16.498795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile51
Q1453.5
median987
Q31505
95-th percentile1964.5
Maximum2301
Range2301
Interquartile range (IQR)1051.5

Descriptive statistics

Standard deviation606.90002
Coefficient of variation (CV)0.60796744
Kurtosis-1.0748748
Mean998.24427
Median Absolute Deviation (MAD)522
Skewness0.026806156
Sum130770
Variance368327.63
MonotonicityNot monotonic
2024-04-22T03:38:16.739501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
843 2
 
1.5%
1007 2
 
1.5%
9 2
 
1.5%
1493 2
 
1.5%
1486 2
 
1.5%
120 2
 
1.5%
1748 2
 
1.5%
1963 1
 
0.8%
1776 1
 
0.8%
1525 1
 
0.8%
Other values (114) 114
87.0%
ValueCountFrequency (%)
0 1
0.8%
9 2
1.5%
16 1
0.8%
19 1
0.8%
43 1
0.8%
44 1
0.8%
58 1
0.8%
88 1
0.8%
120 2
1.5%
129 1
0.8%
ValueCountFrequency (%)
2301 1
0.8%
2180 1
0.8%
2156 1
0.8%
2114 1
0.8%
2044 1
0.8%
2022 1
0.8%
1966 1
0.8%
1963 1
0.8%
1910 1
0.8%
1867 1
0.8%

은평구
Real number (ℝ)

Distinct123
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1473.458
Minimum7
Maximum3289
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-22T03:38:16.975039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile38
Q1659
median1727
Q32241.5
95-th percentile2908
Maximum3289
Range3282
Interquartile range (IQR)1582.5

Descriptive statistics

Standard deviation952.0057
Coefficient of variation (CV)0.64610304
Kurtosis-1.2315246
Mean1473.458
Median Absolute Deviation (MAD)677
Skewness-0.20693209
Sum193023
Variance906314.85
MonotonicityNot monotonic
2024-04-22T03:38:17.226365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
693 2
 
1.5%
888 2
 
1.5%
672 2
 
1.5%
2278 2
 
1.5%
143 2
 
1.5%
1523 2
 
1.5%
122 2
 
1.5%
98 2
 
1.5%
2415 1
 
0.8%
1622 1
 
0.8%
Other values (113) 113
86.3%
ValueCountFrequency (%)
7 1
0.8%
8 1
0.8%
10 1
0.8%
12 1
0.8%
16 1
0.8%
25 1
0.8%
31 1
0.8%
45 1
0.8%
49 1
0.8%
69 1
0.8%
ValueCountFrequency (%)
3289 1
0.8%
3076 1
0.8%
3015 1
0.8%
2993 1
0.8%
2958 1
0.8%
2923 1
0.8%
2922 1
0.8%
2894 1
0.8%
2796 1
0.8%
2773 1
0.8%

노원구
Real number (ℝ)

Distinct127
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1610.1298
Minimum3
Maximum12617
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-22T03:38:17.477163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile38.5
Q1370.5
median1338
Q32071
95-th percentile5035
Maximum12617
Range12614
Interquartile range (IQR)1700.5

Descriptive statistics

Standard deviation1873.7148
Coefficient of variation (CV)1.1637042
Kurtosis12.153788
Mean1610.1298
Median Absolute Deviation (MAD)895
Skewness2.9767598
Sum210927
Variance3510807.2
MonotonicityNot monotonic
2024-04-22T03:38:17.737241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 2
 
1.5%
40 2
 
1.5%
79 2
 
1.5%
827 2
 
1.5%
2184 1
 
0.8%
2109 1
 
0.8%
2466 1
 
0.8%
2276 1
 
0.8%
2635 1
 
0.8%
2711 1
 
0.8%
Other values (117) 117
89.3%
ValueCountFrequency (%)
3 1
0.8%
7 1
0.8%
8 1
0.8%
9 2
1.5%
16 1
0.8%
37 1
0.8%
40 2
1.5%
45 1
0.8%
49 1
0.8%
50 1
0.8%
ValueCountFrequency (%)
12617 1
0.8%
9724 1
0.8%
7944 1
0.8%
7689 1
0.8%
6400 1
0.8%
5428 1
0.8%
5274 1
0.8%
4796 1
0.8%
4024 1
0.8%
3720 1
0.8%

서대문구
Real number (ℝ)

Distinct125
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1155.6107
Minimum5
Maximum2571
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-22T03:38:17.990555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile40
Q1415
median1225
Q31849.5
95-th percentile2191
Maximum2571
Range2566
Interquartile range (IQR)1434.5

Descriptive statistics

Standard deviation765.36357
Coefficient of variation (CV)0.66230226
Kurtosis-1.4904384
Mean1155.6107
Median Absolute Deviation (MAD)703
Skewness-0.07144407
Sum151385
Variance585781.39
MonotonicityNot monotonic
2024-04-22T03:38:18.242268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
225 3
 
2.3%
475 2
 
1.5%
792 2
 
1.5%
1978 2
 
1.5%
116 2
 
1.5%
1550 1
 
0.8%
1603 1
 
0.8%
1768 1
 
0.8%
1963 1
 
0.8%
2206 1
 
0.8%
Other values (115) 115
87.8%
ValueCountFrequency (%)
5 1
0.8%
8 1
0.8%
11 1
0.8%
18 1
0.8%
23 1
0.8%
26 1
0.8%
32 1
0.8%
48 1
0.8%
51 1
0.8%
68 1
0.8%
ValueCountFrequency (%)
2571 1
0.8%
2435 1
0.8%
2411 1
0.8%
2328 1
0.8%
2260 1
0.8%
2206 1
0.8%
2198 1
0.8%
2184 1
0.8%
2176 1
0.8%
2124 1
0.8%

구로구
Real number (ℝ)

Distinct129
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1187.1756
Minimum1
Maximum2750
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-22T03:38:18.477793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile46
Q1559
median1300
Q31745.5
95-th percentile2310
Maximum2750
Range2749
Interquartile range (IQR)1186.5

Descriptive statistics

Standard deviation723.52706
Coefficient of variation (CV)0.60945245
Kurtosis-1.0637025
Mean1187.1756
Median Absolute Deviation (MAD)536
Skewness-0.045163211
Sum155520
Variance523491.41
MonotonicityNot monotonic
2024-04-22T03:38:18.877574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 2
 
1.5%
1699 2
 
1.5%
1 1
 
0.8%
1412 1
 
0.8%
2395 1
 
0.8%
2142 1
 
0.8%
1747 1
 
0.8%
1373 1
 
0.8%
1149 1
 
0.8%
1339 1
 
0.8%
Other values (119) 119
90.8%
ValueCountFrequency (%)
1 1
0.8%
6 1
0.8%
12 1
0.8%
15 2
1.5%
17 1
0.8%
43 1
0.8%
49 1
0.8%
50 1
0.8%
77 1
0.8%
101 1
0.8%
ValueCountFrequency (%)
2750 1
0.8%
2594 1
0.8%
2547 1
0.8%
2428 1
0.8%
2395 1
0.8%
2386 1
0.8%
2327 1
0.8%
2293 1
0.8%
2277 1
0.8%
2195 1
0.8%

양천구
Real number (ℝ)

Distinct123
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1405.458
Minimum8
Maximum2952
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-22T03:38:19.279811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile37
Q1430
median1605
Q32161.5
95-th percentile2584
Maximum2952
Range2944
Interquartile range (IQR)1731.5

Descriptive statistics

Standard deviation895.36369
Coefficient of variation (CV)0.63706186
Kurtosis-1.3195404
Mean1405.458
Median Absolute Deviation (MAD)711
Skewness-0.27908593
Sum184115
Variance801676.14
MonotonicityNot monotonic
2024-04-22T03:38:19.711415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88 2
 
1.5%
329 2
 
1.5%
2407 2
 
1.5%
2545 2
 
1.5%
217 2
 
1.5%
2068 2
 
1.5%
662 2
 
1.5%
1605 2
 
1.5%
2183 1
 
0.8%
1524 1
 
0.8%
Other values (113) 113
86.3%
ValueCountFrequency (%)
8 1
0.8%
17 1
0.8%
18 1
0.8%
21 1
0.8%
22 1
0.8%
26 1
0.8%
34 1
0.8%
40 1
0.8%
43 1
0.8%
55 1
0.8%
ValueCountFrequency (%)
2952 1
0.8%
2845 1
0.8%
2731 1
0.8%
2676 1
0.8%
2639 1
0.8%
2622 1
0.8%
2618 1
0.8%
2550 1
0.8%
2545 2
1.5%
2511 1
0.8%

강북구
Real number (ℝ)

Distinct121
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean712.9542
Minimum2
Maximum1697
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-22T03:38:20.117571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile24
Q1283.5
median781
Q31063.5
95-th percentile1389.5
Maximum1697
Range1695
Interquartile range (IQR)780

Descriptive statistics

Standard deviation451.66017
Coefficient of variation (CV)0.63350516
Kurtosis-1.1525656
Mean712.9542
Median Absolute Deviation (MAD)372
Skewness-0.076828408
Sum93397
Variance203996.91
MonotonicityNot monotonic
2024-04-22T03:38:20.555362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1206 2
 
1.5%
807 2
 
1.5%
416 2
 
1.5%
944 2
 
1.5%
1270 2
 
1.5%
1342 2
 
1.5%
1153 2
 
1.5%
2 2
 
1.5%
17 2
 
1.5%
8 2
 
1.5%
Other values (111) 111
84.7%
ValueCountFrequency (%)
2 2
1.5%
6 1
0.8%
8 2
1.5%
17 2
1.5%
31 1
0.8%
35 1
0.8%
37 1
0.8%
45 1
0.8%
50 1
0.8%
56 1
0.8%
ValueCountFrequency (%)
1697 1
0.8%
1445 1
0.8%
1427 1
0.8%
1415 1
0.8%
1408 1
0.8%
1395 1
0.8%
1392 1
0.8%
1387 1
0.8%
1377 1
0.8%
1367 1
0.8%

도봉구
Real number (ℝ)

Distinct127
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean801.62595
Minimum0
Maximum2014
Zeros1
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-22T03:38:20.975283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile56.5
Q1326.5
median828
Q31243
95-th percentile1586.5
Maximum2014
Range2014
Interquartile range (IQR)916.5

Descriptive statistics

Standard deviation505.84218
Coefficient of variation (CV)0.63102021
Kurtosis-1.1033769
Mean801.62595
Median Absolute Deviation (MAD)457
Skewness0.062528982
Sum105013
Variance255876.31
MonotonicityNot monotonic
2024-04-22T03:38:21.423456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1345 2
 
1.5%
574 2
 
1.5%
1047 2
 
1.5%
1312 2
 
1.5%
6 1
 
0.8%
906 1
 
0.8%
1466 1
 
0.8%
1410 1
 
0.8%
1658 1
 
0.8%
1590 1
 
0.8%
Other values (117) 117
89.3%
ValueCountFrequency (%)
0 1
0.8%
3 1
0.8%
6 1
0.8%
10 1
0.8%
11 1
0.8%
14 1
0.8%
45 1
0.8%
68 1
0.8%
73 1
0.8%
80 1
0.8%
ValueCountFrequency (%)
2014 1
0.8%
1839 1
0.8%
1658 1
0.8%
1630 1
0.8%
1600 1
0.8%
1593 1
0.8%
1590 1
0.8%
1583 1
0.8%
1536 1
0.8%
1481 1
0.8%

금천구
Real number (ℝ)

Distinct121
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean593.62595
Minimum1
Maximum1876
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-22T03:38:21.836878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile31
Q1165.5
median546
Q3933.5
95-th percentile1345.5
Maximum1876
Range1875
Interquartile range (IQR)768

Descriptive statistics

Standard deviation448.46956
Coefficient of variation (CV)0.75547498
Kurtosis-0.4499652
Mean593.62595
Median Absolute Deviation (MAD)389
Skewness0.55106565
Sum77765
Variance201124.94
MonotonicityNot monotonic
2024-04-22T03:38:22.564095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 2
 
1.5%
31 2
 
1.5%
1041 2
 
1.5%
546 2
 
1.5%
139 2
 
1.5%
82 2
 
1.5%
85 2
 
1.5%
362 2
 
1.5%
566 2
 
1.5%
50 2
 
1.5%
Other values (111) 111
84.7%
ValueCountFrequency (%)
1 1
0.8%
3 2
1.5%
7 1
0.8%
13 1
0.8%
17 1
0.8%
31 2
1.5%
36 1
0.8%
39 1
0.8%
40 1
0.8%
42 1
0.8%
ValueCountFrequency (%)
1876 1
0.8%
1799 1
0.8%
1646 1
0.8%
1487 1
0.8%
1386 1
0.8%
1378 1
0.8%
1353 1
0.8%
1338 1
0.8%
1325 1
0.8%
1286 1
0.8%

타시도
Real number (ℝ)

ZEROS 

Distinct58
Distinct (%)44.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.366412
Minimum0
Maximum631
Zeros12
Zeros (%)9.2%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-22T03:38:22.970358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.5
median9
Q348.5
95-th percentile166
Maximum631
Range631
Interquartile range (IQR)46

Descriptive statistics

Standard deviation75.711213
Coefficient of variation (CV)1.8302581
Kurtosis28.229923
Mean41.366412
Median Absolute Deviation (MAD)9
Skewness4.3676596
Sum5419
Variance5732.1878
MonotonicityNot monotonic
2024-04-22T03:38:23.407613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 12
 
9.2%
0 12
 
9.2%
3 10
 
7.6%
2 9
 
6.9%
4 7
 
5.3%
5 5
 
3.8%
9 4
 
3.1%
31 4
 
3.1%
7 3
 
2.3%
18 3
 
2.3%
Other values (48) 62
47.3%
ValueCountFrequency (%)
0 12
9.2%
1 12
9.2%
2 9
6.9%
3 10
7.6%
4 7
5.3%
5 5
3.8%
6 2
 
1.5%
7 3
 
2.3%
8 2
 
1.5%
9 4
 
3.1%
ValueCountFrequency (%)
631 1
0.8%
252 1
0.8%
239 1
0.8%
209 1
0.8%
193 1
0.8%
168 1
0.8%
166 2
1.5%
165 1
0.8%
156 1
0.8%
153 2
1.5%

Sample

년도월송파구성동구영등포구중랑구용산구서초구강남구강서구마포구종로구강동구중구광진구성북구동대문구관악구동작구은평구노원구서대문구구로구양천구강북구도봉구금천구타시도
0201284628555152574108271007951866362
1201297121811512231438138485261229161611643810720
220121011642551922934832029144191910818155580310
32012111215194101615132644471225516129261522211137
42012122316259131213102726328101269983812182319
52013142334818252541462237183027197204425732171717143615
62013211245513754504543435840735732292943454023494017455018
72013353769041967146116609854544664474558314951502631134448
820134795375701476375581051245012335656435881437948187341562284913
92013579491328417361947172493884854412421547069406813521591313113
년도월송파구성동구영등포구중랑구용산구서초구강남구강서구마포구종로구강동구중구광진구성북구동대문구관악구동작구은평구노원구서대문구구로구양천구강북구도봉구금천구타시도
12120229322817774029146040128646100974675622731382187294327062041221240462180299318361677186124461031130311952
122202210373417274970144543086445237645535638631672158334526842157236041212156249118721787187024938741480126915
1232022113415152045501421381173513464550136691308724203121262522002275415815972667172116281595262213671239133814
1242022123045141348191189335358741392945414885235118612627248819602387388111882247141814581307231682391211761
125202313078147638561186374953309373625852452242178223182716191526204035127620671574140913922545953137411000
1262023228821563428412513632589968725845530223612024252839941863235845131291233716621490139121881153122011931
12720233399017309515152839572151774705854612326702358310684772015299773351405235222921761206528451427163013783
12820234387017485847153810684686476646171595530842492328282281835267356941486240421811759214423401392160013860
1292023550561847529816145172833980018303679032052682309455852237266749571605239919141743227726761415153617991
1302023639111812557415674341834180648217538428902655328629992234230643551663292220371926275029521697201416460