Overview

Dataset statistics

Number of variables28
Number of observations130
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory32.1 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 11 (8.5%) zerosZeros

Reproduction

Analysis started2024-03-30 05:54:13.081287
Analysis finished2024-03-30 05:54:13.470080
Duration0.39 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%
Mean2017.5
Minimum2012
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-30T05:54:14.104074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2012
5-th percentile2013
Q12015
median2017.5
Q32020
95-th percentile2022
Maximum2023
Range11
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.1653404
Coefficient of variation (CV)0.001568942
Kurtosis-1.1575155
Mean2017.5
Median Absolute Deviation (MAD)2.5
Skewness0
Sum262275
Variance10.01938
MonotonicityIncreasing
2024-03-30T05:54:14.513897image/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) 10
7.7%
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 5
3.8%
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%
Mean6.5
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-30T05:54:14.929028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13.25
median6.5
Q39.75
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)6.5

Descriptive statistics

Standard deviation3.4914069
Coefficient of variation (CV)0.53713953
Kurtosis-1.2442322
Mean6.5
Median Absolute Deviation (MAD)3.5
Skewness0
Sum845
Variance12.189922
MonotonicityNot monotonic
2024-03-30T05:54:15.248214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
8 11
8.5%
9 11
8.5%
10 11
8.5%
11 11
8.5%
12 11
8.5%
1 11
8.5%
2 11
8.5%
3 11
8.5%
4 11
8.5%
5 11
8.5%
Other values (2) 20
15.4%
ValueCountFrequency (%)
1 11
8.5%
2 11
8.5%
3 11
8.5%
4 11
8.5%
5 11
8.5%
6 10
7.7%
7 10
7.7%
8 11
8.5%
9 11
8.5%
10 11
8.5%
ValueCountFrequency (%)
12 11
8.5%
11 11
8.5%
10 11
8.5%
9 11
8.5%
8 11
8.5%
7 10
7.7%
6 10
7.7%
5 11
8.5%
4 11
8.5%
3 11
8.5%

송파구
Real number (ℝ)

Distinct128
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2068.6231
Minimum4
Maximum7783
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-30T05:54:15.532362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile62.45
Q11085.5
median2098
Q33040
95-th percentile4010.9
Maximum7783
Range7779
Interquartile range (IQR)1954.5

Descriptive statistics

Standard deviation1456.6181
Coefficient of variation (CV)0.70414863
Kurtosis2.0247029
Mean2068.6231
Median Absolute Deviation (MAD)965.5
Skewness0.92058504
Sum268921
Variance2121736.3
MonotonicityNot monotonic
2024-03-30T05:54:15.809971image/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 (118) 118
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%
3870 1
0.8%

성동구
Real number (ℝ)

Distinct121
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1254.0692
Minimum6
Maximum2977
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-30T05:54:16.233422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile46.8
Q1673
median1435.5
Q31725.75
95-th percentile2569.55
Maximum2977
Range2971
Interquartile range (IQR)1052.75

Descriptive statistics

Standard deviation749.13218
Coefficient of variation (CV)0.59736111
Kurtosis-0.57745396
Mean1254.0692
Median Absolute Deviation (MAD)374.5
Skewness-0.1307103
Sum163029
Variance561199.03
MonotonicityNot monotonic
2024-03-30T05:54:16.677855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 2
 
1.5%
1526 2
 
1.5%
1039 2
 
1.5%
1555 2
 
1.5%
1481 2
 
1.5%
836 2
 
1.5%
1739 2
 
1.5%
1520 2
 
1.5%
76 2
 
1.5%
2025 1
 
0.8%
Other values (111) 111
85.4%
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 

Distinct130
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2537.2462
Minimum18
Maximum9515
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-30T05:54:17.038119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile59.55
Q11379.75
median2564
Q33756.5
95-th percentile4496.9
Maximum9515
Range9497
Interquartile range (IQR)2376.75

Descriptive statistics

Standard deviation1582.8095
Coefficient of variation (CV)0.62382971
Kurtosis1.594308
Mean2537.2462
Median Absolute Deviation (MAD)1203.5
Skewness0.41493067
Sum329842
Variance2505286
MonotonicityNot monotonic
2024-03-30T05:54:17.389088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28 1
 
0.8%
3863 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%
2256 1
 
0.8%
Other values (120) 120
92.3%
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%
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%
4404 1
0.8%

중랑구
Real number (ℝ)

Distinct125
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean876.26154
Minimum4
Maximum1932
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-30T05:54:17.787577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile34.8
Q1523.75
median866.5
Q31315.75
95-th percentile1641.3
Maximum1932
Range1928
Interquartile range (IQR)792

Descriptive statistics

Standard deviation524.00232
Coefficient of variation (CV)0.59799762
Kurtosis-1.008118
Mean876.26154
Median Absolute Deviation (MAD)396.5
Skewness-0.15211726
Sum113914
Variance274578.43
MonotonicityNot monotonic
2024-03-30T05:54:18.227236image/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%
1251 1
 
0.8%
1186 1
 
0.8%
1675 1
 
0.8%
1543 1
 
0.8%
1579 1
 
0.8%
Other values (115) 115
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)

Distinct125
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1987.0154
Minimum5
Maximum10684
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-30T05:54:18.698459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile53
Q1745.5
median2121
Q32968.5
95-th percentile4068.65
Maximum10684
Range10679
Interquartile range (IQR)2223

Descriptive statistics

Standard deviation1543.875
Coefficient of variation (CV)0.77698189
Kurtosis6.2528091
Mean1987.0154
Median Absolute Deviation (MAD)1192.5
Skewness1.3969769
Sum258312
Variance2383549.9
MonotonicityNot monotonic
2024-03-30T05:54:19.140113image/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%
2280 1
 
0.8%
3317 1
 
0.8%
2831 1
 
0.8%
2666 1
 
0.8%
2563 1
 
0.8%
2537 1
 
0.8%
Other values (115) 115
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%
4308 1
0.8%
4115 1
0.8%
4012 1
0.8%
3957 1
0.8%
3911 1
0.8%

서초구
Real number (ℝ)

Distinct128
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2951.6692
Minimum5
Maximum26964
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-30T05:54:19.548689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile54.95
Q11030.75
median2371.5
Q33736.25
95-th percentile6790.2
Maximum26964
Range26959
Interquartile range (IQR)2705.5

Descriptive statistics

Standard deviation3428.9988
Coefficient of variation (CV)1.1617151
Kurtosis23.82089
Mean2951.6692
Median Absolute Deviation (MAD)1363.5
Skewness4.025923
Sum383717
Variance11758033
MonotonicityNot monotonic
2024-03-30T05:54:19.920284image/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 (118) 118
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%
8339 1
0.8%
7527 1
0.8%
7351 1
0.8%
6864 1
0.8%
6700 1
0.8%
6603 1
0.8%
6562 1
0.8%

강남구
Real number (ℝ)

Distinct127
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3400.7462
Minimum13
Maximum34645
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-30T05:54:20.282019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile45.45
Q1796.5
median2983.5
Q34241
95-th percentile8933.35
Maximum34645
Range34632
Interquartile range (IQR)3444.5

Descriptive statistics

Standard deviation4281.0176
Coefficient of variation (CV)1.2588466
Kurtosis25.267167
Mean3400.7462
Median Absolute Deviation (MAD)1843.5
Skewness4.2309069
Sum442097
Variance18327112
MonotonicityNot monotonic
2024-03-30T05:54:20.719602image/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%
3260 1
 
0.8%
4196 1
 
0.8%
4096 1
 
0.8%
3693 1
 
0.8%
4636 1
 
0.8%
5243 1
 
0.8%
4692 1
 
0.8%
Other values (117) 117
90.0%
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%
8001 1
0.8%
7664 1
0.8%

강서구
Real number (ℝ)

Distinct128
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2442.8462
Minimum2
Maximum10115
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-30T05:54:21.304431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile44.35
Q1942
median2214.5
Q33409.5
95-th percentile5491.8
Maximum10115
Range10113
Interquartile range (IQR)2467.5

Descriptive statistics

Standard deviation1900.4717
Coefficient of variation (CV)0.77797439
Kurtosis1.2808533
Mean2442.8462
Median Absolute Deviation (MAD)1254
Skewness0.91527678
Sum317570
Variance3611792.8
MonotonicityNot monotonic
2024-03-30T05:54:21.757777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
58 2
 
1.5%
116 2
 
1.5%
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%
2 1
 
0.8%
Other values (118) 118
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%
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%
5219 1
0.8%

마포구
Real number (ℝ)

UNIQUE 

Distinct130
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2515.3154
Minimum5
Maximum6790
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-30T05:54:22.269932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile50.65
Q1702.5
median2408
Q33738.75
95-th percentile6047.4
Maximum6790
Range6785
Interquartile range (IQR)3036.25

Descriptive statistics

Standard deviation1887.9609
Coefficient of variation (CV)0.75058617
Kurtosis-0.83069575
Mean2515.3154
Median Absolute Deviation (MAD)1587.5
Skewness0.39502721
Sum326991
Variance3564396.5
MonotonicityNot monotonic
2024-03-30T05:54:22.732908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 1
 
0.8%
3784 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%
2857 1
 
0.8%
Other values (120) 120
92.3%
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)

Distinct129
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1698.4231
Minimum7
Maximum7950
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-30T05:54:23.160822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile49.45
Q1613
median1515.5
Q32800.5
95-th percentile3534.25
Maximum7950
Range7943
Interquartile range (IQR)2187.5

Descriptive statistics

Standard deviation1313.6758
Coefficient of variation (CV)0.77346795
Kurtosis2.3840976
Mean1698.4231
Median Absolute Deviation (MAD)1039
Skewness0.9559682
Sum220795
Variance1725744.2
MonotonicityNot monotonic
2024-03-30T05:54:23.703974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1064 2
 
1.5%
7 1
 
0.8%
2894 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%
1838 1
 
0.8%
Other values (119) 119
91.5%
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)

Distinct125
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1506.8615
Minimum3
Maximum3686
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-30T05:54:24.457287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile38.9
Q1676.75
median1642.5
Q32296
95-th percentile2958.2
Maximum3686
Range3683
Interquartile range (IQR)1619.25

Descriptive statistics

Standard deviation962.58872
Coefficient of variation (CV)0.6388037
Kurtosis-1.0565464
Mean1506.8615
Median Absolute Deviation (MAD)746.5
Skewness0.029478932
Sum195892
Variance926577.05
MonotonicityNot monotonic
2024-03-30T05:54:25.062850image/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%
3 2
 
1.5%
2348 2
 
1.5%
2464 1
 
0.8%
3095 1
 
0.8%
2791 1
 
0.8%
2293 1
 
0.8%
2162 1
 
0.8%
Other values (115) 115
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)

Distinct128
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1526.5462
Minimum7
Maximum3350
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-30T05:54:25.904136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile62.55
Q1595.75
median1465
Q32434.5
95-th percentile3100.6
Maximum3350
Range3343
Interquartile range (IQR)1838.75

Descriptive statistics

Standard deviation1045.8093
Coefficient of variation (CV)0.685082
Kurtosis-1.3418281
Mean1526.5462
Median Absolute Deviation (MAD)957
Skewness0.017827429
Sum198451
Variance1093717.1
MonotonicityNot monotonic
2024-03-30T05:54:26.491823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
123 2
 
1.5%
2148 2
 
1.5%
1897 1
 
0.8%
3040 1
 
0.8%
3205 1
 
0.8%
2729 1
 
0.8%
2661 1
 
0.8%
2139 1
 
0.8%
10 1
 
0.8%
3350 1
 
0.8%
Other values (118) 118
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%
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%
3040 1
0.8%

광진구
Real number (ℝ)

Distinct127
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1623.6077
Minimum8
Maximum8477
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-30T05:54:27.122792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile46.45
Q1876
median1586
Q32211.25
95-th percentile3214.15
Maximum8477
Range8469
Interquartile range (IQR)1335.25

Descriptive statistics

Standard deviation1308.2543
Coefficient of variation (CV)0.80576997
Kurtosis9.664458
Mean1623.6077
Median Absolute Deviation (MAD)650
Skewness2.1999998
Sum211069
Variance1711529.4
MonotonicityNot monotonic
2024-03-30T05:54:27.687674image/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%
1622 1
 
0.8%
2214 1
 
0.8%
3152 1
 
0.8%
2191 1
 
0.8%
1670 1
 
0.8%
1634 1
 
0.8%
1775 1
 
0.8%
Other values (117) 117
90.0%
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%
2903 1
0.8%

성북구
Real number (ℝ)

Distinct126
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1415.9615
Minimum2
Maximum3193
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-30T05:54:28.468033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile34.7
Q1370.25
median1774.5
Q32077.75
95-th percentile2371.55
Maximum3193
Range3191
Interquartile range (IQR)1707.5

Descriptive statistics

Standard deviation863.58903
Coefficient of variation (CV)0.60989582
Kurtosis-1.1317575
Mean1415.9615
Median Absolute Deviation (MAD)413.5
Skewness-0.51394185
Sum184075
Variance745786.01
MonotonicityNot monotonic
2024-03-30T05:54:29.100662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 2
 
1.5%
1963 2
 
1.5%
1792 2
 
1.5%
2156 2
 
1.5%
2371 1
 
0.8%
2349 1
 
0.8%
1811 1
 
0.8%
1529 1
 
0.8%
1965 1
 
0.8%
1573 1
 
0.8%
Other values (116) 116
89.2%
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)

Distinct123
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1330.4846
Minimum4
Maximum4205
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-30T05:54:29.711041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile30.8
Q1365.5
median1543.5
Q32102
95-th percentile2643.65
Maximum4205
Range4201
Interquartile range (IQR)1736.5

Descriptive statistics

Standard deviation936.4189
Coefficient of variation (CV)0.70381791
Kurtosis-0.86655095
Mean1330.4846
Median Absolute Deviation (MAD)738
Skewness0.098022592
Sum172963
Variance876880.36
MonotonicityNot monotonic
2024-03-30T05:54:30.278957image/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 (113) 113
86.9%
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)

Distinct128
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2872.8692
Minimum2
Maximum7335
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-30T05:54:30.835792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile31.7
Q11550.25
median3208
Q34324.75
95-th percentile4974.6
Maximum7335
Range7333
Interquartile range (IQR)2774.5

Descriptive statistics

Standard deviation1789.1726
Coefficient of variation (CV)0.62278246
Kurtosis-1.013897
Mean2872.8692
Median Absolute Deviation (MAD)1281.5
Skewness-0.37780033
Sum373473
Variance3201138.5
MonotonicityNot monotonic
2024-03-30T05:54:31.427451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4158 2
 
1.5%
355 2
 
1.5%
4366 1
 
0.8%
4811 1
 
0.8%
4897 1
 
0.8%
4651 1
 
0.8%
4892 1
 
0.8%
4275 1
 
0.8%
4101 1
 
0.8%
4326 1
 
0.8%
Other values (118) 118
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)

Distinct123
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean993.13077
Minimum0
Maximum2301
Zeros1
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-30T05:54:32.071569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile50.3
Q1451.25
median974
Q31501.25
95-th percentile1964.65
Maximum2301
Range2301
Interquartile range (IQR)1050

Descriptive statistics

Standard deviation606.40824
Coefficient of variation (CV)0.61060261
Kurtosis-1.0634065
Mean993.13077
Median Absolute Deviation (MAD)527.5
Skewness0.042404853
Sum129107
Variance367730.95
MonotonicityNot monotonic
2024-03-30T05:54:32.682260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
843 2
 
1.5%
120 2
 
1.5%
1007 2
 
1.5%
1486 2
 
1.5%
1493 2
 
1.5%
1748 2
 
1.5%
9 2
 
1.5%
1597 1
 
0.8%
2156 1
 
0.8%
1506 1
 
0.8%
Other values (113) 113
86.9%
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)

Distinct122
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1462.3154
Minimum7
Maximum3289
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-30T05:54:33.106313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile37.3
Q1653
median1674.5
Q32227.25
95-th percentile2849.9
Maximum3289
Range3282
Interquartile range (IQR)1574.25

Descriptive statistics

Standard deviation947.0743
Coefficient of variation (CV)0.64765393
Kurtosis-1.2334702
Mean1462.3154
Median Absolute Deviation (MAD)697
Skewness-0.20415674
Sum190101
Variance896949.74
MonotonicityNot monotonic
2024-03-30T05:54:33.593940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
693 2
 
1.5%
2278 2
 
1.5%
888 2
 
1.5%
672 2
 
1.5%
143 2
 
1.5%
1523 2
 
1.5%
122 2
 
1.5%
98 2
 
1.5%
1389 1
 
0.8%
1622 1
 
0.8%
Other values (112) 112
86.2%
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%
2894 1
0.8%
2796 1
0.8%
2773 1
0.8%
2667 1
0.8%

노원구
Real number (ℝ)

Distinct126
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1606.8462
Minimum3
Maximum12617
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-30T05:54:34.347773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile38.35
Q1369.25
median1336.5
Q32086.5
95-th percentile5058.9
Maximum12617
Range12614
Interquartile range (IQR)1717.25

Descriptive statistics

Standard deviation1880.5848
Coefficient of variation (CV)1.1703577
Kurtosis12.075071
Mean1606.8462
Median Absolute Deviation (MAD)902.5
Skewness2.9726609
Sum208890
Variance3536599.3
MonotonicityNot monotonic
2024-03-30T05:54:35.080476image/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%
2466 1
 
0.8%
2184 1
 
0.8%
2711 1
 
0.8%
2109 1
 
0.8%
2586 1
 
0.8%
2331 1
 
0.8%
Other values (116) 116
89.2%
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)

Distinct124
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1149.6846
Minimum5
Maximum2571
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-30T05:54:35.788518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile39.2
Q1413
median1221
Q31845
95-th percentile2191.7
Maximum2571
Range2566
Interquartile range (IQR)1432

Descriptive statistics

Standard deviation765.30136
Coefficient of variation (CV)0.665662
Kurtosis-1.4881785
Mean1149.6846
Median Absolute Deviation (MAD)709
Skewness-0.05646139
Sum149459
Variance585686.17
MonotonicityNot monotonic
2024-03-30T05:54:36.464651image/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 (114) 114
87.7%
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)

Distinct128
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1175.1538
Minimum1
Maximum2594
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-30T05:54:37.143182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile45.7
Q1554.5
median1286
Q31739.75
95-th percentile2285.8
Maximum2594
Range2593
Interquartile range (IQR)1185.25

Descriptive statistics

Standard deviation713.07107
Coefficient of variation (CV)0.60678955
Kurtosis-1.1213485
Mean1175.1538
Median Absolute Deviation (MAD)531.5
Skewness-0.079063156
Sum152770
Variance508470.35
MonotonicityNot monotonic
2024-03-30T05:54:37.601450image/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%
1149 1
 
0.8%
2386 1
 
0.8%
2395 1
 
0.8%
2142 1
 
0.8%
1747 1
 
0.8%
1373 1
 
0.8%
1412 1
 
0.8%
Other values (118) 118
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 (%)
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%
2144 1
0.8%

양천구
Real number (ℝ)

Distinct122
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1393.5615
Minimum8
Maximum2845
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-30T05:54:38.194901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile36.7
Q1429.5
median1604
Q32148.5
95-th percentile2547.75
Maximum2845
Range2837
Interquartile range (IQR)1719

Descriptive statistics

Standard deviation888.37325
Coefficient of variation (CV)0.63748405
Kurtosis-1.3413424
Mean1393.5615
Median Absolute Deviation (MAD)707
Skewness-0.288709
Sum181163
Variance789207.04
MonotonicityNot monotonic
2024-03-30T05:54:38.659092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88 2
 
1.5%
2545 2
 
1.5%
329 2
 
1.5%
2068 2
 
1.5%
217 2
 
1.5%
662 2
 
1.5%
2407 2
 
1.5%
1605 2
 
1.5%
2618 1
 
0.8%
2361 1
 
0.8%
Other values (112) 112
86.2%
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 (%)
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%
2494 1
0.8%

강북구
Real number (ℝ)

Distinct120
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean705.38462
Minimum2
Maximum1445
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-30T05:54:39.132691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile23.3
Q1277.25
median779.5
Q31058
95-th percentile1382.5
Maximum1445
Range1443
Interquartile range (IQR)780.75

Descriptive statistics

Standard deviation444.98761
Coefficient of variation (CV)0.63084394
Kurtosis-1.2230117
Mean705.38462
Median Absolute Deviation (MAD)368.5
Skewness-0.11427668
Sum91700
Variance198013.97
MonotonicityNot monotonic
2024-03-30T05:54:39.923058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1153 2
 
1.5%
807 2
 
1.5%
416 2
 
1.5%
944 2
 
1.5%
1270 2
 
1.5%
1206 2
 
1.5%
1342 2
 
1.5%
2 2
 
1.5%
17 2
 
1.5%
8 2
 
1.5%
Other values (110) 110
84.6%
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 (%)
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%
1342 2
1.5%

도봉구
Real number (ℝ)

Distinct126
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean792.3
Minimum0
Maximum1839
Zeros1
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-30T05:54:40.554760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile55.35
Q1324.75
median823
Q31236
95-th percentile1561.85
Maximum1839
Range1839
Interquartile range (IQR)911.25

Descriptive statistics

Standard deviation496.3648
Coefficient of variation (CV)0.62648592
Kurtosis-1.2226663
Mean792.3
Median Absolute Deviation (MAD)451
Skewness0.0092304725
Sum102999
Variance246378.01
MonotonicityNot monotonic
2024-03-30T05:54:41.072522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1345 2
 
1.5%
1047 2
 
1.5%
574 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 (116) 116
89.2%
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 (%)
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%
1480 1
0.8%

금천구
Real number (ℝ)

Distinct120
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean585.53077
Minimum1
Maximum1876
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-30T05:54:41.671344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile31
Q1161.25
median546
Q3915.5
95-th percentile1332.15
Maximum1876
Range1875
Interquartile range (IQR)754.25

Descriptive statistics

Standard deviation440.49155
Coefficient of variation (CV)0.75229446
Kurtosis-0.45875581
Mean585.53077
Median Absolute Deviation (MAD)384.5
Skewness0.53477227
Sum76119
Variance194032.81
MonotonicityNot monotonic
2024-03-30T05:54:42.245873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 2
 
1.5%
31 2
 
1.5%
139 2
 
1.5%
82 2
 
1.5%
85 2
 
1.5%
546 2
 
1.5%
362 2
 
1.5%
1041 2
 
1.5%
50 2
 
1.5%
566 2
 
1.5%
Other values (110) 110
84.6%
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%
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%
1269 1
0.8%

타시도
Real number (ℝ)

ZEROS 

Distinct58
Distinct (%)44.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.684615
Minimum0
Maximum631
Zeros11
Zeros (%)8.5%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-30T05:54:42.820050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median9.5
Q349.25
95-th percentile166
Maximum631
Range631
Interquartile range (IQR)46.25

Descriptive statistics

Standard deviation75.916114
Coefficient of variation (CV)1.8212022
Kurtosis28.067864
Mean41.684615
Median Absolute Deviation (MAD)9.5
Skewness4.3549973
Sum5419
Variance5763.2564
MonotonicityNot monotonic
2024-03-30T05:54:43.459318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 12
 
9.2%
0 11
 
8.5%
3 10
 
7.7%
2 9
 
6.9%
4 7
 
5.4%
5 5
 
3.8%
9 4
 
3.1%
31 4
 
3.1%
7 3
 
2.3%
18 3
 
2.3%
Other values (48) 62
47.7%
ValueCountFrequency (%)
0 11
8.5%
1 12
9.2%
2 9
6.9%
3 10
7.7%
4 7
5.4%
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
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42012122316259131213102726328101269983812182319
52013142334818252541462237183027197204425732171717143615
62013211245513754504543435840735732292943454023494017455018
72013353769041967146116609854544664474558314951502631134448
820134795375701476375581051245012335656435881437948187341562284913
92013579491328417361947172493884854412421547069406813521591313113
년도월송파구성동구영등포구중랑구용산구서초구강남구강서구마포구종로구강동구중구광진구성북구동대문구관악구동작구은평구노원구서대문구구로구양천구강북구도봉구금천구타시도
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12120229322817774029146040128646100974675622731382187294327062041221240462180299318361677186124461031130311952
122202210373417274970144543086445237645535638631672158334526842157236041212156249118721787187024938741480126915
1232022113415152045501421381173513464550136691308724203121262522002275415815972667172116281595262213671239133814
1242022123045141348191189335358741392945414885235118612627248819602387388111882247141814581307231682391211761
125202313078147638561186374953309373625852452242178223182716191526204035127620671574140913922545953137411000
1262023228821563428412513632589968725845530223612024252839941863235845131291233716621490139121881153122011931
12720233399017309515152839572151774705854612326702358310684772015299773351405235222921761206528451427163013783
12820234387017485847153810684686476646171595530842492328282281835267356941486240421811759214423401392160013860
1292023550561847529816145172833980018303679032052682309455852237266749571605239919141743227726761415153617991