Overview

Dataset statistics

Number of variables29
Number of observations91
Missing cells235
Missing cells (%)8.9%
Duplicate rows1
Duplicate rows (%)1.1%
Total size in memory23.2 KiB
Average record size in memory261.5 B

Variable types

Numeric27
Unsupported1
Categorical1

Dataset

Description서울특별시 25개 자치구별 공공자전거(따릉이) 대여건수입니다. 2017년 1월부터 2023년 5월까지의 공공자전거 대여실적을 제공합니다.
URLhttps://www.data.go.kr/data/15097068/fileData.do

Alerts

Dataset has 1 (1.1%) duplicate rowsDuplicates
기타 is highly imbalanced (76.6%)Imbalance
계 has 7 (7.7%) missing valuesMissing
강남구 has 12 (13.2%) missing valuesMissing
강동구 has 10 (11.0%) missing valuesMissing
강북구 has 11 (12.1%) missing valuesMissing
강서구 has 10 (11.0%) missing valuesMissing
관악구 has 12 (13.2%) missing valuesMissing
광진구 has 7 (7.7%) missing valuesMissing
구로구 has 11 (12.1%) missing valuesMissing
금천구 has 11 (12.1%) missing valuesMissing
노원구 has 11 (12.1%) missing valuesMissing
도봉구 has 11 (12.1%) missing valuesMissing
동대문구 has 7 (7.7%) missing valuesMissing
동작구 has 7 (7.7%) missing valuesMissing
마포구 has 7 (7.7%) missing valuesMissing
서대문구 has 7 (7.7%) missing valuesMissing
서초구 has 12 (13.2%) missing valuesMissing
성동구 has 7 (7.7%) missing valuesMissing
성북구 has 11 (12.1%) missing valuesMissing
송파구 has 11 (12.1%) missing valuesMissing
양천구 has 7 (7.7%) missing valuesMissing
영등포구 has 7 (7.7%) missing valuesMissing
용산구 has 7 (7.7%) missing valuesMissing
은평구 has 7 (7.7%) missing valuesMissing
종로구 has 7 (7.7%) missing valuesMissing
중구 has 7 (7.7%) missing valuesMissing
중랑구 has 11 (12.1%) missing valuesMissing
월 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 19:27:20.553886
Analysis finished2023-12-12 19:27:20.909639
Duration0.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년
Real number (ℝ)

Distinct7
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2020
Minimum2017
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-13T04:27:20.963291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2017
5-th percentile2017
Q12018
median2020
Q32022
95-th percentile2023
Maximum2023
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.0110804
Coefficient of variation (CV)0.00099558436
Kurtosis-1.2525536
Mean2020
Median Absolute Deviation (MAD)2
Skewness0
Sum183820
Variance4.0444444
MonotonicityIncreasing
2023-12-13T04:27:21.103832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2017 13
14.3%
2018 13
14.3%
2019 13
14.3%
2020 13
14.3%
2021 13
14.3%
2022 13
14.3%
2023 13
14.3%
ValueCountFrequency (%)
2017 13
14.3%
2018 13
14.3%
2019 13
14.3%
2020 13
14.3%
2021 13
14.3%
2022 13
14.3%
2023 13
14.3%
ValueCountFrequency (%)
2023 13
14.3%
2022 13
14.3%
2021 13
14.3%
2020 13
14.3%
2019 13
14.3%
2018 13
14.3%
2017 13
14.3%

월
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size860.0 B

계
Real number (ℝ)

MISSING 

Distinct84
Distinct (%)100.0%
Missing7
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean3514249
Minimum84149
Maximum40948900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-13T04:27:21.300292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum84149
5-th percentile190517.35
Q1877334.75
median1908334.5
Q33394377
95-th percentile15724224
Maximum40948900
Range40864751
Interquartile range (IQR)2517042.2

Descriptive statistics

Standard deviation6419039.2
Coefficient of variation (CV)1.826575
Kurtosis18.910523
Mean3514249
Median Absolute Deviation (MAD)1124538
Skewness4.1726029
Sum2.9519691 × 108
Variance4.1204064 × 1013
MonotonicityNot monotonic
2023-12-13T04:27:21.501956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1234546 1
 
1.1%
3445677 1
 
1.1%
3736390 1
 
1.1%
3245733 1
 
1.1%
3377277 1
 
1.1%
3460407 1
 
1.1%
2950150 1
 
1.1%
3043238 1
 
1.1%
2184228 1
 
1.1%
812021 1
 
1.1%
Other values (74) 74
81.3%
(Missing) 7
 
7.7%
ValueCountFrequency (%)
84149 1
1.1%
85752 1
1.1%
164365 1
1.1%
168738 1
1.1%
188767 1
1.1%
200436 1
1.1%
319181 1
1.1%
388665 1
1.1%
451223 1
1.1%
462644 1
1.1%
ValueCountFrequency (%)
40948900 1
1.1%
32053367 1
1.1%
23705176 1
1.1%
19074794 1
1.1%
16723496 1
1.1%
10061684 1
1.1%
5031039 1
1.1%
4962202 1
1.1%
4952894 1
1.1%
4760532 1
1.1%

강남구
Real number (ℝ)

MISSING 

Distinct79
Distinct (%)100.0%
Missing12
Missing (%)13.2%
Infinite0
Infinite (%)0.0%
Mean122752.94
Minimum2615
Maximum1212908
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-13T04:27:21.717150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2615
5-th percentile8268.2
Q138360
median70645
Q3101168.5
95-th percentile551236.4
Maximum1212908
Range1210293
Interquartile range (IQR)62808.5

Descriptive statistics

Standard deviation208251.01
Coefficient of variation (CV)1.6965053
Kurtosis14.186812
Mean122752.94
Median Absolute Deviation (MAD)31911
Skewness3.7252511
Sum9697482
Variance4.3368482 × 1010
MonotonicityNot monotonic
2023-12-13T04:27:21.945128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2615 1
 
1.1%
79121 1
 
1.1%
100918 1
 
1.1%
112887 1
 
1.1%
93764 1
 
1.1%
93853 1
 
1.1%
99707 1
 
1.1%
89945 1
 
1.1%
100149 1
 
1.1%
67403 1
 
1.1%
Other values (69) 69
75.8%
(Missing) 12
 
13.2%
ValueCountFrequency (%)
2615 1
1.1%
6376 1
1.1%
6623 1
1.1%
7685 1
1.1%
8333 1
1.1%
16832 1
1.1%
17806 1
1.1%
19997 1
1.1%
20198 1
1.1%
20525 1
1.1%
ValueCountFrequency (%)
1212908 1
1.1%
954181 1
1.1%
814143 1
1.1%
786869 1
1.1%
525055 1
1.1%
427050 1
1.1%
158152 1
1.1%
148721 1
1.1%
142928 1
1.1%
134028 1
1.1%

강동구
Real number (ℝ)

MISSING 

Distinct81
Distinct (%)100.0%
Missing10
Missing (%)11.0%
Infinite0
Infinite (%)0.0%
Mean141647.14
Minimum760
Maximum1785324
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-13T04:27:22.145622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum760
5-th percentile6692
Q128794
median77636
Q3140691
95-th percentile674992
Maximum1785324
Range1784564
Interquartile range (IQR)111897

Descriptive statistics

Standard deviation268044.69
Coefficient of variation (CV)1.892341
Kurtosis21.508236
Mean141647.14
Median Absolute Deviation (MAD)50063
Skewness4.3789205
Sum11473418
Variance7.1847954 × 1010
MonotonicityNot monotonic
2023-12-13T04:27:22.383955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
77250 1
 
1.1%
147248 1
 
1.1%
149651 1
 
1.1%
131856 1
 
1.1%
140691 1
 
1.1%
143647 1
 
1.1%
112181 1
 
1.1%
110539 1
 
1.1%
77636 1
 
1.1%
43287 1
 
1.1%
Other values (71) 71
78.0%
(Missing) 10
 
11.0%
ValueCountFrequency (%)
760 1
1.1%
3511 1
1.1%
3698 1
1.1%
4265 1
1.1%
6692 1
1.1%
7498 1
1.1%
9100 1
1.1%
9250 1
1.1%
9710 1
1.1%
11466 1
1.1%
ValueCountFrequency (%)
1785324 1
1.1%
1273447 1
1.1%
878510 1
1.1%
717521 1
1.1%
674992 1
1.1%
327554 1
1.1%
210906 1
1.1%
210884 1
1.1%
209010 1
1.1%
198788 1
1.1%

강북구
Real number (ℝ)

MISSING 

Distinct80
Distinct (%)100.0%
Missing11
Missing (%)12.1%
Infinite0
Infinite (%)0.0%
Mean61232.775
Minimum685
Maximum610968
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-13T04:27:22.590372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum685
5-th percentile2283.65
Q116119
median36805
Q356575.75
95-th percentile264549.3
Maximum610968
Range610283
Interquartile range (IQR)40456.75

Descriptive statistics

Standard deviation109550.82
Coefficient of variation (CV)1.789088
Kurtosis15.418254
Mean61232.775
Median Absolute Deviation (MAD)20610.5
Skewness3.8871436
Sum4898622
Variance1.2001383 × 1010
MonotonicityNot monotonic
2023-12-13T04:27:22.779704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
54190 1
 
1.1%
45063 1
 
1.1%
56355 1
 
1.1%
65953 1
 
1.1%
60019 1
 
1.1%
62266 1
 
1.1%
63661 1
 
1.1%
55181 1
 
1.1%
57238 1
 
1.1%
40773 1
 
1.1%
Other values (70) 70
76.9%
(Missing) 11
 
12.1%
ValueCountFrequency (%)
685 1
1.1%
1939 1
1.1%
2032 1
1.1%
2049 1
1.1%
2296 1
1.1%
2644 1
1.1%
3622 1
1.1%
4855 1
1.1%
6159 1
1.1%
7628 1
1.1%
ValueCountFrequency (%)
610968 1
1.1%
576052 1
1.1%
462869 1
1.1%
339073 1
1.1%
260627 1
1.1%
167753 1
1.1%
76051 1
1.1%
75100 1
1.1%
69420 1
1.1%
65953 1
1.1%

강서구
Real number (ℝ)

MISSING 

Distinct81
Distinct (%)100.0%
Missing10
Missing (%)11.0%
Infinite0
Infinite (%)0.0%
Mean330992.74
Minimum709
Maximum4600475
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-13T04:27:22.975044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum709
5-th percentile10096
Q146135
median148814
Q3356074
95-th percentile1181327
Maximum4600475
Range4599766
Interquartile range (IQR)309939

Descriptive statistics

Standard deviation673816.76
Coefficient of variation (CV)2.0357448
Kurtosis24.412153
Mean330992.74
Median Absolute Deviation (MAD)124566
Skewness4.6586921
Sum26810412
Variance4.5402903 × 1011
MonotonicityNot monotonic
2023-12-13T04:27:23.147476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
216209 1
 
1.1%
371285 1
 
1.1%
381710 1
 
1.1%
324880 1
 
1.1%
356074 1
 
1.1%
361535 1
 
1.1%
289198 1
 
1.1%
282076 1
 
1.1%
205076 1
 
1.1%
108048 1
 
1.1%
Other values (71) 71
78.0%
(Missing) 10
 
11.0%
ValueCountFrequency (%)
709 1
1.1%
3708 1
1.1%
3862 1
1.1%
4679 1
1.1%
10096 1
1.1%
10607 1
1.1%
10660 1
1.1%
11810 1
1.1%
14448 1
1.1%
14977 1
1.1%
ValueCountFrequency (%)
4600475 1
1.1%
3274017 1
1.1%
1992035 1
1.1%
1859572 1
1.1%
1181327 1
1.1%
556153 1
1.1%
530709 1
1.1%
526926 1
1.1%
525380 1
1.1%
483160 1
1.1%

관악구
Real number (ℝ)

MISSING 

Distinct79
Distinct (%)100.0%
Missing12
Missing (%)13.2%
Infinite0
Infinite (%)0.0%
Mean115038.33
Minimum5049
Maximum1122897
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-13T04:27:23.318342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5049
5-th percentile7820.7
Q134928
median68106
Q3101403.5
95-th percentile442013.7
Maximum1122897
Range1117848
Interquartile range (IQR)66475.5

Descriptive statistics

Standard deviation199801.32
Coefficient of variation (CV)1.7368239
Kurtosis15.066112
Mean115038.33
Median Absolute Deviation (MAD)33664
Skewness3.8534311
Sum9088028
Variance3.9920569 × 1010
MonotonicityNot monotonic
2023-12-13T04:27:23.485469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5932 1
 
1.1%
85271 1
 
1.1%
111050 1
 
1.1%
117559 1
 
1.1%
108200 1
 
1.1%
113685 1
 
1.1%
112114 1
 
1.1%
94537 1
 
1.1%
97162 1
 
1.1%
67844 1
 
1.1%
Other values (69) 69
75.8%
(Missing) 12
 
13.2%
ValueCountFrequency (%)
5049 1
1.1%
5055 1
1.1%
5932 1
1.1%
6108 1
1.1%
8011 1
1.1%
14103 1
1.1%
14359 1
1.1%
16122 1
1.1%
17342 1
1.1%
19291 1
1.1%
ValueCountFrequency (%)
1122897 1
1.1%
1030133 1
1.1%
814483 1
1.1%
686181 1
1.1%
414884 1
1.1%
366488 1
1.1%
144160 1
1.1%
124680 1
1.1%
121648 1
1.1%
120551 1
1.1%

광진구
Real number (ℝ)

MISSING 

Distinct84
Distinct (%)100.0%
Missing7
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean181465.33
Minimum5023
Maximum1962996
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-13T04:27:23.698627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5023
5-th percentile12170.55
Q150592
median96204.5
Q3153466.5
95-th percentile793111
Maximum1962996
Range1957973
Interquartile range (IQR)102874.5

Descriptive statistics

Standard deviation318831.69
Coefficient of variation (CV)1.756984
Kurtosis16.215932
Mean181465.33
Median Absolute Deviation (MAD)51987.5
Skewness3.9152915
Sum15243088
Variance1.0165365 × 1011
MonotonicityNot monotonic
2023-12-13T04:27:23.935836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
62803 1
 
1.1%
156401 1
 
1.1%
173952 1
 
1.1%
152961 1
 
1.1%
151196 1
 
1.1%
154983 1
 
1.1%
139343 1
 
1.1%
145509 1
 
1.1%
109724 1
 
1.1%
38393 1
 
1.1%
Other values (74) 74
81.3%
(Missing) 7
 
7.7%
ValueCountFrequency (%)
5023 1
1.1%
5119 1
1.1%
9608 1
1.1%
10063 1
1.1%
12081 1
1.1%
12678 1
1.1%
21830 1
1.1%
22757 1
1.1%
28028 1
1.1%
28837 1
1.1%
ValueCountFrequency (%)
1962996 1
1.1%
1490398 1
1.1%
1208136 1
1.1%
1199629 1
1.1%
820720 1
1.1%
636660 1
1.1%
303005 1
1.1%
244966 1
1.1%
242163 1
1.1%
233462 1
1.1%

구로구
Real number (ℝ)

MISSING 

Distinct80
Distinct (%)100.0%
Missing11
Missing (%)12.1%
Infinite0
Infinite (%)0.0%
Mean136910.35
Minimum176
Maximum1549106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-13T04:27:24.183673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum176
5-th percentile7225.75
Q132774.5
median76871.5
Q3129143.25
95-th percentile659917.25
Maximum1549106
Range1548930
Interquartile range (IQR)96368.75

Descriptive statistics

Standard deviation249375.51
Coefficient of variation (CV)1.8214511
Kurtosis17.874971
Mean136910.35
Median Absolute Deviation (MAD)46840
Skewness4.0805443
Sum10952828
Variance6.2188147 × 1010
MonotonicityNot monotonic
2023-12-13T04:27:24.388550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
110454 1
 
1.1%
103196 1
 
1.1%
131418 1
 
1.1%
141001 1
 
1.1%
121968 1
 
1.1%
128627 1
 
1.1%
130692 1
 
1.1%
112171 1
 
1.1%
119457 1
 
1.1%
83905 1
 
1.1%
Other values (70) 70
76.9%
(Missing) 11
 
12.1%
ValueCountFrequency (%)
176 1
1.1%
4011 1
1.1%
4389 1
1.1%
4846 1
1.1%
7351 1
1.1%
7849 1
1.1%
10979 1
1.1%
11282 1
1.1%
12631 1
1.1%
16652 1
1.1%
ValueCountFrequency (%)
1549106 1
1.1%
1219760 1
1.1%
941328 1
1.1%
688327 1
1.1%
658422 1
1.1%
335908 1
1.1%
196213 1
1.1%
183406 1
1.1%
179529 1
1.1%
175761 1
1.1%

금천구
Real number (ℝ)

MISSING 

Distinct80
Distinct (%)100.0%
Missing11
Missing (%)12.1%
Infinite0
Infinite (%)0.0%
Mean59513.375
Minimum132
Maximum691853
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-13T04:27:24.582941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum132
5-th percentile2601.7
Q114051.25
median33396
Q358001.5
95-th percentile286558.75
Maximum691853
Range691721
Interquartile range (IQR)43950.25

Descriptive statistics

Standard deviation109582.21
Coefficient of variation (CV)1.8413039
Kurtosis18.691821
Mean59513.375
Median Absolute Deviation (MAD)19844.5
Skewness4.1579226
Sum4761070
Variance1.200826 × 1010
MonotonicityNot monotonic
2023-12-13T04:27:24.762868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47921 1
 
1.1%
46437 1
 
1.1%
57955 1
 
1.1%
59884 1
 
1.1%
52691 1
 
1.1%
58702 1
 
1.1%
58141 1
 
1.1%
46718 1
 
1.1%
52079 1
 
1.1%
34468 1
 
1.1%
Other values (70) 70
76.9%
(Missing) 11
 
12.1%
ValueCountFrequency (%)
132 1
1.1%
2103 1
1.1%
2245 1
1.1%
2596 1
1.1%
2602 1
1.1%
2818 1
1.1%
4278 1
1.1%
5091 1
1.1%
5535 1
1.1%
7673 1
1.1%
ValueCountFrequency (%)
691853 1
1.1%
531780 1
1.1%
407260 1
1.1%
296491 1
1.1%
286036 1
1.1%
132449 1
1.1%
85391 1
1.1%
80355 1
1.1%
78077 1
1.1%
77887 1
1.1%

노원구
Real number (ℝ)

MISSING 

Distinct80
Distinct (%)100.0%
Missing11
Missing (%)12.1%
Infinite0
Infinite (%)0.0%
Mean197627.98
Minimum3384
Maximum2351491
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-13T04:27:24.952395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3384
5-th percentile5795.2
Q144592.5
median104493
Q3193413
95-th percentile951603.4
Maximum2351491
Range2348107
Interquartile range (IQR)148820.5

Descriptive statistics

Standard deviation368110.36
Coefficient of variation (CV)1.862643
Kurtosis19.227221
Mean197627.98
Median Absolute Deviation (MAD)63159.5
Skewness4.1896334
Sum15810238
Variance1.3550524 × 1011
MonotonicityNot monotonic
2023-12-13T04:27:25.172146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
161672 1
 
1.1%
149095 1
 
1.1%
188346 1
 
1.1%
209904 1
 
1.1%
191040 1
 
1.1%
201446 1
 
1.1%
200532 1
 
1.1%
167226 1
 
1.1%
161408 1
 
1.1%
110227 1
 
1.1%
Other values (70) 70
76.9%
(Missing) 11
 
12.1%
ValueCountFrequency (%)
3384 1
1.1%
3803 1
1.1%
4072 1
1.1%
4108 1
1.1%
5884 1
1.1%
8454 1
1.1%
9354 1
1.1%
11423 1
1.1%
14342 1
1.1%
21854 1
1.1%
ValueCountFrequency (%)
2351491 1
1.1%
1781410 1
1.1%
1293256 1
1.1%
1011936 1
1.1%
948428 1
1.1%
429336 1
1.1%
307102 1
1.1%
287424 1
1.1%
277332 1
1.1%
259820 1
1.1%

도봉구
Real number (ℝ)

MISSING 

Distinct80
Distinct (%)100.0%
Missing11
Missing (%)12.1%
Infinite0
Infinite (%)0.0%
Mean69971.65
Minimum824
Maximum823487
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-13T04:27:25.342209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum824
5-th percentile1800.9
Q113279.5
median36103
Q372313.25
95-th percentile319483.25
Maximum823487
Range822663
Interquartile range (IQR)59033.75

Descriptive statistics

Standard deviation133426.08
Coefficient of variation (CV)1.9068592
Kurtosis18.915155
Mean69971.65
Median Absolute Deviation (MAD)26428
Skewness4.1979967
Sum5597732
Variance1.7802519 × 1010
MonotonicityNot monotonic
2023-12-13T04:27:25.479213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
54601 1
 
1.1%
54428 1
 
1.1%
69706 1
 
1.1%
83079 1
 
1.1%
74885 1
 
1.1%
77210 1
 
1.1%
78774 1
 
1.1%
65900 1
 
1.1%
65248 1
 
1.1%
45446 1
 
1.1%
Other values (70) 70
76.9%
(Missing) 11
 
12.1%
ValueCountFrequency (%)
824 1
1.1%
897 1
1.1%
970 1
1.1%
1096 1
1.1%
1838 1
1.1%
1933 1
1.1%
2103 1
1.1%
2587 1
1.1%
3858 1
1.1%
5059 1
1.1%
ValueCountFrequency (%)
823487 1
1.1%
691563 1
1.1%
484542 1
1.1%
346221 1
1.1%
318076 1
1.1%
114179 1
1.1%
103971 1
1.1%
100779 1
1.1%
96895 1
1.1%
89032 1
1.1%

동대문구
Real number (ℝ)

MISSING 

Distinct84
Distinct (%)100.0%
Missing7
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean128146.69
Minimum5426
Maximum1448600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-13T04:27:25.654609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5426
5-th percentile9098.25
Q133277.5
median71159
Q3124454.25
95-th percentile563330.5
Maximum1448600
Range1443174
Interquartile range (IQR)91176.75

Descriptive statistics

Standard deviation231752.99
Coefficient of variation (CV)1.8084977
Kurtosis18.661553
Mean128146.69
Median Absolute Deviation (MAD)42086
Skewness4.162587
Sum10764322
Variance5.3709451 × 1010
MonotonicityNot monotonic
2023-12-13T04:27:25.860156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48879 1
 
1.1%
125319 1
 
1.1%
137630 1
 
1.1%
124150 1
 
1.1%
130815 1
 
1.1%
130745 1
 
1.1%
111375 1
 
1.1%
113602 1
 
1.1%
86145 1
 
1.1%
33457 1
 
1.1%
Other values (74) 74
81.3%
(Missing) 7
 
7.7%
ValueCountFrequency (%)
5426 1
1.1%
5636 1
1.1%
6630 1
1.1%
6844 1
1.1%
8595 1
1.1%
11950 1
1.1%
16511 1
1.1%
17660 1
1.1%
17835 1
1.1%
18423 1
1.1%
ValueCountFrequency (%)
1448600 1
1.1%
1215744 1
1.1%
846818 1
1.1%
671193 1
1.1%
599641 1
1.1%
357571 1
1.1%
242594 1
1.1%
181893 1
1.1%
179224 1
1.1%
164197 1
1.1%

동작구
Real number (ℝ)

MISSING 

Distinct84
Distinct (%)100.0%
Missing7
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean81387.548
Minimum177
Maximum872313
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-13T04:27:26.085003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum177
5-th percentile1104.1
Q121971
median44649.5
Q377194
95-th percentile333722.15
Maximum872313
Range872136
Interquartile range (IQR)55223

Descriptive statistics

Standard deviation146153.06
Coefficient of variation (CV)1.7957668
Kurtosis16.320575
Mean81387.548
Median Absolute Deviation (MAD)28939
Skewness3.9514316
Sum6836554
Variance2.1360716 × 1010
MonotonicityNot monotonic
2023-12-13T04:27:26.280681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29542 1
 
1.1%
76664 1
 
1.1%
87563 1
 
1.1%
76143 1
 
1.1%
78784 1
 
1.1%
80544 1
 
1.1%
71680 1
 
1.1%
75183 1
 
1.1%
53135 1
 
1.1%
18987 1
 
1.1%
Other values (74) 74
81.3%
(Missing) 7
 
7.7%
ValueCountFrequency (%)
177 1
1.1%
191 1
1.1%
383 1
1.1%
573 1
1.1%
658 1
1.1%
3632 1
1.1%
4004 1
1.1%
4801 1
1.1%
4826 1
1.1%
7305 1
1.1%
ValueCountFrequency (%)
872313 1
1.1%
737852 1
1.1%
605096 1
1.1%
480400 1
1.1%
343460 1
1.1%
278541 1
1.1%
107726 1
1.1%
106377 1
1.1%
104245 1
1.1%
100615 1
1.1%

마포구
Real number (ℝ)

MISSING 

Distinct84
Distinct (%)100.0%
Missing7
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean224139.9
Minimum17340
Maximum2189600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-13T04:27:26.450479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17340
5-th percentile27065.6
Q172509.75
median118306
Q3184380.75
95-th percentile909829.8
Maximum2189600
Range2172260
Interquartile range (IQR)111871

Descriptive statistics

Standard deviation374230.83
Coefficient of variation (CV)1.6696306
Kurtosis14.158528
Mean224139.9
Median Absolute Deviation (MAD)55134.5
Skewness3.7073534
Sum18827752
Variance1.4004872 × 1011
MonotonicityNot monotonic
2023-12-13T04:27:26.640105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
75534 1
 
1.1%
191319 1
 
1.1%
214228 1
 
1.1%
182588 1
 
1.1%
180633 1
 
1.1%
195800 1
 
1.1%
173054 1
 
1.1%
179679 1
 
1.1%
130787 1
 
1.1%
48687 1
 
1.1%
Other values (74) 74
81.3%
(Missing) 7
 
7.7%
ValueCountFrequency (%)
17340 1
1.1%
17998 1
1.1%
20137 1
1.1%
20186 1
1.1%
25646 1
1.1%
35110 1
1.1%
37089 1
1.1%
38881 1
1.1%
41283 1
1.1%
48687 1
1.1%
ValueCountFrequency (%)
2189600 1
1.1%
1811757 1
1.1%
1506898 1
1.1%
1359451 1
1.1%
921837 1
1.1%
841789 1
1.1%
782544 1
1.1%
281843 1
1.1%
253501 1
1.1%
249518 1
1.1%

서대문구
Real number (ℝ)

MISSING 

Distinct84
Distinct (%)100.0%
Missing7
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean91781.214
Minimum6453
Maximum868545
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-13T04:27:26.842593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6453
5-th percentile11519
Q131721.25
median47477.5
Q377343.75
95-th percentile364135.05
Maximum868545
Range862092
Interquartile range (IQR)45622.5

Descriptive statistics

Standard deviation153617.55
Coefficient of variation (CV)1.6737363
Kurtosis13.90497
Mean91781.214
Median Absolute Deviation (MAD)22594.5
Skewness3.7102578
Sum7709622
Variance2.3598353 × 1010
MonotonicityNot monotonic
2023-12-13T04:27:27.022744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31805 1
 
1.1%
78422 1
 
1.1%
86969 1
 
1.1%
77904 1
 
1.1%
79976 1
 
1.1%
81963 1
 
1.1%
70227 1
 
1.1%
74664 1
 
1.1%
58112 1
 
1.1%
23104 1
 
1.1%
Other values (74) 74
81.3%
(Missing) 7
 
7.7%
ValueCountFrequency (%)
6453 1
1.1%
7086 1
1.1%
8587 1
1.1%
8656 1
1.1%
10835 1
1.1%
15395 1
1.1%
16214 1
1.1%
17580 1
1.1%
18775 1
1.1%
21411 1
1.1%
ValueCountFrequency (%)
868545 1
1.1%
771283 1
1.1%
636249 1
1.1%
574682 1
1.1%
368241 1
1.1%
340868 1
1.1%
294943 1
1.1%
107723 1
1.1%
98761 1
1.1%
95762 1
1.1%

서초구
Real number (ℝ)

MISSING 

Distinct79
Distinct (%)100.0%
Missing12
Missing (%)13.2%
Infinite0
Infinite (%)0.0%
Mean133251.7
Minimum5608
Maximum1271358
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-13T04:27:27.222270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5608
5-th percentile10712
Q140847.5
median76278
Q3113543
95-th percentile537373.8
Maximum1271358
Range1265750
Interquartile range (IQR)72695.5

Descriptive statistics

Standard deviation227258.7
Coefficient of variation (CV)1.7054845
Kurtosis13.94629
Mean133251.7
Median Absolute Deviation (MAD)36872
Skewness3.7322222
Sum10526884
Variance5.1646518 × 1010
MonotonicityNot monotonic
2023-12-13T04:27:27.431437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5608 1
 
1.1%
85164 1
 
1.1%
113150 1
 
1.1%
130265 1
 
1.1%
110132 1
 
1.1%
110075 1
 
1.1%
116594 1
 
1.1%
108086 1
 
1.1%
119083 1
 
1.1%
80052 1
 
1.1%
Other values (69) 69
75.8%
(Missing) 12
 
13.2%
ValueCountFrequency (%)
5608 1
1.1%
7146 1
1.1%
7392 1
1.1%
8264 1
1.1%
10984 1
1.1%
20037 1
1.1%
20307 1
1.1%
20469 1
1.1%
20539 1
1.1%
20634 1
1.1%
ValueCountFrequency (%)
1271358 1
1.1%
1103508 1
1.1%
932871 1
1.1%
862335 1
1.1%
501267 1
1.1%
449316 1
1.1%
156936 1
1.1%
156903 1
1.1%
152712 1
1.1%
142787 1
1.1%

성동구
Real number (ℝ)

MISSING 

Distinct84
Distinct (%)100.0%
Missing7
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean152788.9
Minimum7754
Maximum1574521
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-13T04:27:30.568760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7754
5-th percentile13887.1
Q145353.25
median82036
Q3129278.25
95-th percentile660929.45
Maximum1574521
Range1566767
Interquartile range (IQR)83925

Descriptive statistics

Standard deviation261861.03
Coefficient of variation (CV)1.7138746
Kurtosis15.374072
Mean152788.9
Median Absolute Deviation (MAD)42048.5
Skewness3.8319586
Sum12834268
Variance6.8571198 × 1010
MonotonicityNot monotonic
2023-12-13T04:27:30.732792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
57664 1
 
1.1%
129390 1
 
1.1%
146971 1
 
1.1%
126108 1
 
1.1%
124901 1
 
1.1%
131121 1
 
1.1%
119673 1
 
1.1%
129241 1
 
1.1%
96034 1
 
1.1%
35857 1
 
1.1%
Other values (74) 74
81.3%
(Missing) 7
 
7.7%
ValueCountFrequency (%)
7754 1
1.1%
7810 1
1.1%
11088 1
1.1%
11170 1
1.1%
13240 1
1.1%
17554 1
1.1%
23900 1
1.1%
25134 1
1.1%
25324 1
1.1%
29479 1
1.1%
ValueCountFrequency (%)
1574521 1
1.1%
1262852 1
1.1%
1055737 1
1.1%
910237 1
1.1%
679376 1
1.1%
556399 1
1.1%
378012 1
1.1%
197006 1
1.1%
194904 1
1.1%
185829 1
1.1%

성북구
Real number (ℝ)

MISSING 

Distinct80
Distinct (%)100.0%
Missing11
Missing (%)12.1%
Infinite0
Infinite (%)0.0%
Mean103374.9
Minimum1508
Maximum1034224
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-13T04:27:30.913947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1508
5-th percentile4519.7
Q131394
median65718.5
Q391309
95-th percentile421099.75
Maximum1034224
Range1032716
Interquartile range (IQR)59915

Descriptive statistics

Standard deviation181972.39
Coefficient of variation (CV)1.7603151
Kurtosis15.064334
Mean103374.9
Median Absolute Deviation (MAD)31957
Skewness3.8497859
Sum8269992
Variance3.3113952 × 1010
MonotonicityNot monotonic
2023-12-13T04:27:31.061486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
86821 1
 
1.1%
74594 1
 
1.1%
91327 1
 
1.1%
101653 1
 
1.1%
95048 1
 
1.1%
97886 1
 
1.1%
100254 1
 
1.1%
87494 1
 
1.1%
90455 1
 
1.1%
67314 1
 
1.1%
Other values (70) 70
76.9%
(Missing) 11
 
12.1%
ValueCountFrequency (%)
1508 1
1.1%
3960 1
1.1%
4043 1
1.1%
4362 1
1.1%
4528 1
1.1%
5475 1
1.1%
8902 1
1.1%
10838 1
1.1%
13779 1
1.1%
15234 1
1.1%
ValueCountFrequency (%)
1034224 1
1.1%
918391 1
1.1%
755786 1
1.1%
625117 1
1.1%
410362 1
1.1%
315564 1
1.1%
130138 1
1.1%
124028 1
1.1%
119193 1
1.1%
109648 1
1.1%

송파구
Real number (ℝ)

MISSING 

Distinct80
Distinct (%)100.0%
Missing11
Missing (%)12.1%
Infinite0
Infinite (%)0.0%
Mean307322.12
Minimum5855
Maximum3791531
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-13T04:27:31.206877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5855
5-th percentile8990.6
Q167174.5
median166364
Q3280121.5
95-th percentile1580366.8
Maximum3791531
Range3785676
Interquartile range (IQR)212947

Descriptive statistics

Standard deviation573684.4
Coefficient of variation (CV)1.8667201
Kurtosis20.78342
Mean307322.12
Median Absolute Deviation (MAD)100627.5
Skewness4.3043006
Sum24585770
Variance3.2911379 × 1011
MonotonicityNot monotonic
2023-12-13T04:27:31.368418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
218688 1
 
1.1%
238059 1
 
1.1%
303748 1
 
1.1%
322493 1
 
1.1%
264359 1
 
1.1%
275364 1
 
1.1%
294394 1
 
1.1%
248833 1
 
1.1%
254196 1
 
1.1%
174586 1
 
1.1%
Other values (70) 70
76.9%
(Missing) 11
 
12.1%
ValueCountFrequency (%)
5855 1
1.1%
7046 1
1.1%
7762 1
1.1%
8394 1
1.1%
9022 1
1.1%
9091 1
1.1%
16924 1
1.1%
23012 1
1.1%
26122 1
1.1%
34335 1
1.1%
ValueCountFrequency (%)
3791531 1
1.1%
2684444 1
1.1%
1775555 1
1.1%
1602365 1
1.1%
1579209 1
1.1%
698292 1
1.1%
471197 1
1.1%
454774 1
1.1%
441644 1
1.1%
419617 1
1.1%

양천구
Real number (ℝ)

MISSING 

Distinct84
Distinct (%)100.0%
Missing7
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean164605.36
Minimum1268
Maximum2346749
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-13T04:27:31.524532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1268
5-th percentile2679.7
Q125291
median74778.5
Q3175363
95-th percentile514267.45
Maximum2346749
Range2345481
Interquartile range (IQR)150072

Descriptive statistics

Standard deviation340185.04
Coefficient of variation (CV)2.0666705
Kurtosis25.177175
Mean164605.36
Median Absolute Deviation (MAD)62080.5
Skewness4.7369858
Sum13826850
Variance1.1572586 × 1011
MonotonicityNot monotonic
2023-12-13T04:27:31.693740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
61890 1
 
1.1%
189339 1
 
1.1%
199699 1
 
1.1%
172447 1
 
1.1%
184111 1
 
1.1%
185528 1
 
1.1%
151021 1
 
1.1%
144955 1
 
1.1%
107903 1
 
1.1%
43366 1
 
1.1%
Other values (74) 74
81.3%
(Missing) 7
 
7.7%
ValueCountFrequency (%)
1268 1
1.1%
1296 1
1.1%
2179 1
1.1%
2591 1
1.1%
2617 1
1.1%
3035 1
1.1%
5476 1
1.1%
5804 1
1.1%
6683 1
1.1%
7497 1
1.1%
ValueCountFrequency (%)
2346749 1
1.1%
1701609 1
1.1%
1043611 1
1.1%
938128 1
1.1%
556819 1
1.1%
273142 1
1.1%
270476 1
1.1%
263700 1
1.1%
262653 1
1.1%
251325 1
1.1%

영등포구
Real number (ℝ)

MISSING 

Distinct84
Distinct (%)100.0%
Missing7
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean293484.4
Minimum14160
Maximum3330749
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-13T04:27:31.903347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14160
5-th percentile22761.6
Q176244
median149764
Q3260714.25
95-th percentile1288183.5
Maximum3330749
Range3316589
Interquartile range (IQR)184470.25

Descriptive statistics

Standard deviation521703.8
Coefficient of variation (CV)1.7776202
Kurtosis18.424563
Mean293484.4
Median Absolute Deviation (MAD)81612.5
Skewness4.1119356
Sum24652690
Variance2.7217486 × 1011
MonotonicityNot monotonic
2023-12-13T04:27:32.070981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
103044 1
 
1.1%
277512 1
 
1.1%
304525 1
 
1.1%
255080 1
 
1.1%
261627 1
 
1.1%
260410 1
 
1.1%
229619 1
 
1.1%
249495 1
 
1.1%
183618 1
 
1.1%
64385 1
 
1.1%
Other values (74) 74
81.3%
(Missing) 7
 
7.7%
ValueCountFrequency (%)
14160 1
1.1%
14439 1
1.1%
17420 1
1.1%
17560 1
1.1%
21111 1
1.1%
32115 1
1.1%
38035 1
1.1%
41575 1
1.1%
42318 1
1.1%
45864 1
1.1%
ValueCountFrequency (%)
3330749 1
1.1%
2554564 1
1.1%
1962266 1
1.1%
1569388 1
1.1%
1356173 1
1.1%
902910 1
1.1%
650295 1
1.1%
400554 1
1.1%
396770 1
1.1%
392621 1
1.1%

용산구
Real number (ℝ)

MISSING 

Distinct84
Distinct (%)100.0%
Missing7
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean77033.31
Minimum2327
Maximum872746
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-13T04:27:32.241443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2327
5-th percentile4106.1
Q118242.75
median39390.5
Q373693.5
95-th percentile325079.65
Maximum872746
Range870419
Interquartile range (IQR)55450.75

Descriptive statistics

Standard deviation140041.49
Coefficient of variation (CV)1.8179342
Kurtosis18.547584
Mean77033.31
Median Absolute Deviation (MAD)24412.5
Skewness4.1494232
Sum6470798
Variance1.9611618 × 1010
MonotonicityNot monotonic
2023-12-13T04:27:32.394449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29290 1
 
1.1%
79685 1
 
1.1%
91786 1
 
1.1%
73576 1
 
1.1%
71053 1
 
1.1%
77508 1
 
1.1%
73358 1
 
1.1%
74046 1
 
1.1%
50204 1
 
1.1%
18239 1
 
1.1%
Other values (74) 74
81.3%
(Missing) 7
 
7.7%
ValueCountFrequency (%)
2327 1
1.1%
2814 1
1.1%
2916 1
1.1%
3305 1
1.1%
3633 1
1.1%
6787 1
1.1%
9250 1
1.1%
9363 1
1.1%
9515 1
1.1%
9543 1
1.1%
ValueCountFrequency (%)
872746 1
1.1%
730546 1
1.1%
534614 1
1.1%
393396 1
1.1%
343033 1
1.1%
223344 1
1.1%
137720 1
1.1%
115559 1
1.1%
107039 1
1.1%
103194 1
1.1%

은평구
Real number (ℝ)

MISSING 

Distinct84
Distinct (%)100.0%
Missing7
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean100131.6
Minimum3783
Maximum1075434
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-13T04:27:32.572734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3783
5-th percentile6589.1
Q127229.5
median57203.5
Q396563
95-th percentile401335.25
Maximum1075434
Range1071651
Interquartile range (IQR)69333.5

Descriptive statistics

Standard deviation178795.63
Coefficient of variation (CV)1.7856065
Kurtosis17.045753
Mean100131.6
Median Absolute Deviation (MAD)31507.5
Skewness4.0328168
Sum8411054
Variance3.1967877 × 1010
MonotonicityNot monotonic
2023-12-13T04:27:32.773451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36577 1
 
1.1%
96192 1
 
1.1%
107214 1
 
1.1%
94329 1
 
1.1%
99794 1
 
1.1%
101832 1
 
1.1%
85863 1
 
1.1%
87328 1
 
1.1%
64372 1
 
1.1%
25482 1
 
1.1%
Other values (74) 74
81.3%
(Missing) 7
 
7.7%
ValueCountFrequency (%)
3783 1
1.1%
4002 1
1.1%
4997 1
1.1%
5010 1
1.1%
6260 1
1.1%
8454 1
1.1%
13913 1
1.1%
14191 1
1.1%
15306 1
1.1%
15311 1
1.1%
ValueCountFrequency (%)
1075434 1
1.1%
924908 1
1.1%
735678 1
1.1%
563992 1
1.1%
419072 1
1.1%
300827 1
1.1%
185616 1
1.1%
127994 1
1.1%
125996 1
1.1%
121705 1
1.1%

종로구
Real number (ℝ)

MISSING 

Distinct84
Distinct (%)100.0%
Missing7
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean141417
Minimum13370
Maximum1447846
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-13T04:27:32.971016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13370
5-th percentile20434.45
Q150507.25
median75696.5
Q3124511.5
95-th percentile584360.7
Maximum1447846
Range1434476
Interquartile range (IQR)74004.25

Descriptive statistics

Standard deviation237679.85
Coefficient of variation (CV)1.6807021
Kurtosis15.720375
Mean141417
Median Absolute Deviation (MAD)31644.5
Skewness3.8498517
Sum11879028
Variance5.6491713 × 1010
MonotonicityNot monotonic
2023-12-13T04:27:33.158798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
49249 1
 
1.1%
125707 1
 
1.1%
126957 1
 
1.1%
116329 1
 
1.1%
125350 1
 
1.1%
124232 1
 
1.1%
101060 1
 
1.1%
109919 1
 
1.1%
81365 1
 
1.1%
35679 1
 
1.1%
Other values (74) 74
81.3%
(Missing) 7
 
7.7%
ValueCountFrequency (%)
13370 1
1.1%
13556 1
1.1%
15916 1
1.1%
16287 1
1.1%
19309 1
1.1%
26812 1
1.1%
27402 1
1.1%
30235 1
1.1%
30813 1
1.1%
34890 1
1.1%
ValueCountFrequency (%)
1447846 1
1.1%
1182889 1
1.1%
861312 1
1.1%
801898 1
1.1%
586812 1
1.1%
570470 1
1.1%
488287 1
1.1%
169369 1
1.1%
168609 1
1.1%
159765 1
1.1%

중구
Real number (ℝ)

MISSING 

Distinct84
Distinct (%)100.0%
Missing7
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean86510.048
Minimum6369
Maximum957034
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-13T04:27:33.372183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6369
5-th percentile9974.15
Q125825.75
median45815
Q381176.25
95-th percentile387217.7
Maximum957034
Range950665
Interquartile range (IQR)55350.5

Descriptive statistics

Standard deviation150576.15
Coefficient of variation (CV)1.7405625
Kurtosis18.150962
Mean86510.048
Median Absolute Deviation (MAD)21685.5
Skewness4.0748811
Sum7266844
Variance2.2673175 × 1010
MonotonicityNot monotonic
2023-12-13T04:27:33.559364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27478 1
 
1.1%
84635 1
 
1.1%
82902 1
 
1.1%
75921 1
 
1.1%
80704 1
 
1.1%
82593 1
 
1.1%
63519 1
 
1.1%
68185 1
 
1.1%
47612 1
 
1.1%
19510 1
 
1.1%
Other values (74) 74
81.3%
(Missing) 7
 
7.7%
ValueCountFrequency (%)
6369 1
1.1%
6504 1
1.1%
8263 1
1.1%
8310 1
1.1%
9560 1
1.1%
12321 1
1.1%
14740 1
1.1%
16308 1
1.1%
16487 1
1.1%
18475 1
1.1%
ValueCountFrequency (%)
957034 1
1.1%
757888 1
1.1%
515547 1
1.1%
459250 1
1.1%
403478 1
1.1%
295076 1
1.1%
245149 1
1.1%
117495 1
1.1%
110437 1
1.1%
106609 1
1.1%

중랑구
Real number (ℝ)

MISSING 

Distinct80
Distinct (%)100.0%
Missing11
Missing (%)12.1%
Infinite0
Infinite (%)0.0%
Mean100018.77
Minimum2650
Maximum1156133
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-13T04:27:33.752591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2650
5-th percentile5226.25
Q123248
median55627
Q392487
95-th percentile480278.15
Maximum1156133
Range1153483
Interquartile range (IQR)69239

Descriptive statistics

Standard deviation182173.53
Coefficient of variation (CV)1.8213933
Kurtosis18.658779
Mean100018.77
Median Absolute Deviation (MAD)33224
Skewness4.1410958
Sum8001502
Variance3.3187194 × 1010
MonotonicityNot monotonic
2023-12-13T04:27:33.933196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
78024 1
 
1.1%
73525 1
 
1.1%
92586 1
 
1.1%
99955 1
 
1.1%
89355 1
 
1.1%
92454 1
 
1.1%
93103 1
 
1.1%
82888 1
 
1.1%
82342 1
 
1.1%
60487 1
 
1.1%
Other values (70) 70
76.9%
(Missing) 11
 
12.1%
ValueCountFrequency (%)
2650 1
1.1%
2960 1
1.1%
3308 1
1.1%
3654 1
1.1%
5309 1
1.1%
6120 1
1.1%
9286 1
1.1%
9793 1
1.1%
10128 1
1.1%
11730 1
1.1%
ValueCountFrequency (%)
1156133 1
1.1%
872391 1
1.1%
676357 1
1.1%
489097 1
1.1%
479814 1
1.1%
253544 1
1.1%
148053 1
1.1%
144147 1
1.1%
136180 1
1.1%
126385 1
1.1%

기타
Categorical

IMBALANCE 

Distinct6
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size860.0 B
<NA>
83 
2
 
4
1
 
1
3
 
1
6
 
1

Length

Max length4
Median length4
Mean length3.7472527
Min length1

Unique

Unique4 ?
Unique (%)4.4%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 83
91.2%
2 4
 
4.4%
1 1
 
1.1%
3 1
 
1.1%
6 1
 
1.1%
14 1
 
1.1%

Length

2023-12-13T04:27:34.137460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:27:34.287852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 83
91.2%
2 4
 
4.4%
1 1
 
1.1%
3 1
 
1.1%
6 1
 
1.1%
14 1
 
1.1%

Sample

년월계강남구강동구강북구강서구관악구광진구구로구금천구노원구도봉구동대문구동작구마포구서대문구서초구성동구성북구송파구양천구영등포구용산구은평구종로구중구중랑구기타
02017소계5031039128535793613196911673010894830300583563346668926220798242594100615782544294943142787378012755521614897518465029513772018561648828724514973415<NA>
120171월84149<NA><NA><NA><NA><NA>5023<NA><NA><NA><NA>5636177173406453<NA>7810<NA><NA>12961416023274002135566369<NA><NA>
220172월85752<NA><NA><NA><NA><NA>5119<NA><NA><NA><NA>5426191179987086<NA>7754<NA><NA>12681443928143783133706504<NA><NA>
320173월188767<NA><NA><NA><NA><NA>12678<NA><NA><NA><NA>119503834128315395<NA>17554<NA><NA>303532115678784542681212321<NA><NA>
420174월319181<NA>760<NA>709<NA>22757<NA><NA><NA><NA>193935736920025197<NA>30003<NA><NA>54765894311354159534014218721<NA><NA>
520175월451223<NA>749868510660<NA>316461761324108970266316589053733253<NA>4067815085855788570038159592133252644257202650<NA>
620176월536707261597102644149775932338117849281884541933291154801963713514356084456539609022936277089171522312056024285126120<NA>
720177월3886658333669222961009680112183073512596588418381842373056278523919109842947954758394580452107101121531138878194535309<NA>
820178월540559168329250362214448143593043810979427893542587242081410677623283342093538608890216924749769129139521934449947256179286<NA>
920179월8898773558815445762824248278765138720026773021854505937521275831157344339437995604682024741379120261018912298227526701503627117869<NA>
년월계강남구강동구강북구강서구관악구광진구구로구금천구노원구도봉구동대문구동작구마포구서대문구서초구성동구성북구송파구양천구영등포구용산구은평구종로구중구중랑구기타
8120233388553511812416593961826415514922711985831508806462323495679453142527797712026788237811194216325698213378989211210314494792129767613650693760110754<NA>
8220234408209613402817791564254429349101770203428162204674352486418642414386785121209009823931267491682271012563959762210473305348763410288213987395113116967<NA>
83202354952894158152209010751005561531246802421631962138539130710210397117922410424524951898761152712197006124028454774270476400554107039121705169369117495148053<NA>
8420236<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8520237<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8620238<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8720239<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
88202310<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
89202311<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
90202312<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

년계강남구강동구강북구강서구관악구광진구구로구금천구노원구도봉구동대문구동작구마포구서대문구서초구성동구성북구송파구양천구영등포구용산구은평구종로구중구중랑구기타# duplicates
02023<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>7