Overview

Dataset statistics

Number of variables26
Number of observations1212
Missing cells13078
Missing cells (%)41.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory274.7 KiB
Average record size in memory232.1 B

Variable types

DateTime2
Numeric23
Categorical1

Dataset

Description서울시 기준일,서울시 확진자,서울시 추가 확진,서울시 치료중,서울시 퇴원,서울시 추가 퇴원,서울시 사망,서울시 의심환자 전체,서울시 의심환자 검사중,서울시 의심환자 검사결과(음성),전국 기준일,전국 확진,전국 추가 확진,전국 치료중,전국 퇴원,전국 사망,전국 의심환자 전체,전국 의심환자 검사중,전국 의심환자 검사결과(음성),자가격리자 해외입국자 감시중,자가격리자 해외입국자 감시해제,자가격리자 접촉자 감시중,자가격리자 접촉자 감시해제,확인중 확진자,서울시 당일사망자,전국 당일 사망자
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-20461/S/1/datasetView.do

Alerts

확인중 확진자 is highly imbalanced (92.0%)Imbalance
서울시 퇴원 has 442 (36.5%) missing valuesMissing
서울시 추가 퇴원 has 442 (36.5%) missing valuesMissing
서울시 의심환자 전체 has 1025 (84.6%) missing valuesMissing
서울시 의심환자 검사중 has 1024 (84.5%) missing valuesMissing
서울시 의심환자 검사결과(음성) has 1024 (84.5%) missing valuesMissing
전국 퇴원 has 442 (36.5%) missing valuesMissing
전국 의심환자 전체 has 1025 (84.6%) missing valuesMissing
전국 의심환자 검사중 has 1024 (84.5%) missing valuesMissing
전국 의심환자 검사결과(음성) has 1024 (84.5%) missing valuesMissing
자가격리자 해외입국자 감시중 has 1024 (84.5%) missing valuesMissing
자가격리자 해외입국자 감시해제 has 1024 (84.5%) missing valuesMissing
자가격리자 접촉자 감시중 has 1024 (84.5%) missing valuesMissing
자가격리자 접촉자 감시해제 has 1024 (84.5%) missing valuesMissing
서울시 당일사망자 has 754 (62.2%) missing valuesMissing
전국 당일 사망자 has 754 (62.2%) missing valuesMissing
서울시 기준일 has unique valuesUnique
전국 기준일 has unique valuesUnique
서울시 추가 확진 has 87 (7.2%) zerosZeros
서울시 치료중 has 442 (36.5%) zerosZeros
서울시 퇴원 has 27 (2.2%) zerosZeros
서울시 추가 퇴원 has 98 (8.1%) zerosZeros
서울시 사망 has 63 (5.2%) zerosZeros
전국 추가 확진 has 77 (6.4%) zerosZeros
전국 치료중 has 442 (36.5%) zerosZeros
전국 사망 has 15 (1.2%) zerosZeros
자가격리자 해외입국자 감시중 has 67 (5.5%) zerosZeros
자가격리자 해외입국자 감시해제 has 67 (5.5%) zerosZeros
자가격리자 접촉자 감시중 has 67 (5.5%) zerosZeros
자가격리자 접촉자 감시해제 has 67 (5.5%) zerosZeros
서울시 당일사망자 has 29 (2.4%) zerosZeros
전국 당일 사망자 has 17 (1.4%) zerosZeros

Reproduction

Analysis started2024-03-23 04:16:19.000328
Analysis finished2024-03-23 04:16:19.707412
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

서울시 기준일
Date

UNIQUE 

Distinct1212
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
Minimum2005-02-20 15:00:00
Maximum2027-02-20 10:00:00
2024-03-23T13:16:19.791377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T13:16:19.968496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

서울시 확진자
Real number (ℝ)

Distinct1189
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1844849.8
Minimum8
Maximum53838532
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.8 KiB
2024-03-23T13:16:20.174240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile560.75
Q19642.25
median102571.5
Q33991263
95-th percentile5992230.5
Maximum53838532
Range53838524
Interquartile range (IQR)3981620.8

Descriptive statistics

Standard deviation2801017.5
Coefficient of variation (CV)1.5182902
Kurtosis96.426969
Mean1844849.8
Median Absolute Deviation (MAD)101943.5
Skewness5.7237545
Sum2.235958 × 109
Variance7.8456989 × 1012
MonotonicityNot monotonic
2024-03-23T13:16:20.352797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 9
 
0.7%
637 5
 
0.4%
628 3
 
0.2%
629 3
 
0.2%
633 3
 
0.2%
624 2
 
0.2%
6194964 2
 
0.2%
619 2
 
0.2%
11 2
 
0.2%
12 2
 
0.2%
Other values (1179) 1179
97.3%
ValueCountFrequency (%)
8 1
 
0.1%
10 9
0.7%
11 2
 
0.2%
12 2
 
0.2%
13 1
 
0.1%
15 1
 
0.1%
18 1
 
0.1%
24 1
 
0.1%
25 1
 
0.1%
31 1
 
0.1%
ValueCountFrequency (%)
53838532 1
0.1%
6204277 1
0.1%
6198290 1
0.1%
6194964 2
0.2%
6191196 1
0.1%
6187279 1
0.1%
6183062 1
0.1%
6178627 1
0.1%
6173315 1
0.1%
6167953 1
0.1%

서울시 추가 확진
Real number (ℝ)

ZEROS 

Distinct855
Distinct (%)70.6%
Missing1
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean5123.6375
Minimum0
Maximum128375
Zeros87
Zeros (%)7.2%
Negative0
Negative (%)0.0%
Memory size10.8 KiB
2024-03-23T13:16:20.513694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1120
median659
Q34204
95-th percentile22468.5
Maximum128375
Range128375
Interquartile range (IQR)4084

Descriptive statistics

Standard deviation12099.405
Coefficient of variation (CV)2.3614873
Kurtosis25.809839
Mean5123.6375
Median Absolute Deviation (MAD)656
Skewness4.5463239
Sum6204725
Variance1.463956 × 108
MonotonicityNot monotonic
2024-03-23T13:16:20.660620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 87
 
7.2%
6 10
 
0.8%
9 9
 
0.7%
11 8
 
0.7%
3 8
 
0.7%
7 8
 
0.7%
13 7
 
0.6%
18 7
 
0.6%
132 7
 
0.6%
17 6
 
0.5%
Other values (845) 1054
87.0%
ValueCountFrequency (%)
0 87
7.2%
1 4
 
0.3%
2 4
 
0.3%
3 8
 
0.7%
4 2
 
0.2%
5 4
 
0.3%
6 10
 
0.8%
7 8
 
0.7%
8 5
 
0.4%
9 9
 
0.7%
ValueCountFrequency (%)
128375 1
0.1%
101133 1
0.1%
82132 1
0.1%
81997 1
0.1%
81824 1
0.1%
81395 1
0.1%
80437 1
0.1%
77770 1
0.1%
74222 1
0.1%
67814 1
0.1%

서울시 치료중
Real number (ℝ)

ZEROS 

Distinct700
Distinct (%)57.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19170.73
Minimum0
Maximum1225081
Zeros442
Zeros (%)36.5%
Negative0
Negative (%)0.0%
Memory size10.8 KiB
2024-03-23T13:16:20.811590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median367
Q34070.5
95-th percentile47546.9
Maximum1225081
Range1225081
Interquartile range (IQR)4070.5

Descriptive statistics

Standard deviation100999.28
Coefficient of variation (CV)5.2684105
Kurtosis75.43855
Mean19170.73
Median Absolute Deviation (MAD)367
Skewness8.2950529
Sum23234925
Variance1.0200854 × 1010
MonotonicityNot monotonic
2024-03-23T13:16:20.973080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 442
36.5%
10 9
 
0.7%
147 6
 
0.5%
154 5
 
0.4%
126 3
 
0.2%
168 3
 
0.2%
156 3
 
0.2%
157 3
 
0.2%
10520 2
 
0.2%
403 2
 
0.2%
Other values (690) 734
60.6%
ValueCountFrequency (%)
0 442
36.5%
8 1
 
0.1%
10 9
 
0.7%
11 2
 
0.2%
12 2
 
0.2%
13 1
 
0.1%
15 1
 
0.1%
18 1
 
0.1%
24 1
 
0.1%
25 1
 
0.1%
ValueCountFrequency (%)
1225081 1
0.1%
1159061 1
0.1%
1102295 1
0.1%
1034516 1
0.1%
974969 1
0.1%
918399 1
0.1%
851572 1
0.1%
786524 1
0.1%
766251 1
0.1%
726716 1
0.1%

서울시 퇴원
Real number (ℝ)

MISSING  ZEROS 

Distinct712
Distinct (%)92.5%
Missing442
Missing (%)36.5%
Infinite0
Infinite (%)0.0%
Mean54033.865
Minimum0
Maximum374439
Zeros27
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size10.8 KiB
2024-03-23T13:16:21.132442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile45.35
Q11571
median24212
Q371734.5
95-th percentile219829.85
Maximum374439
Range374439
Interquartile range (IQR)70163.5

Descriptive statistics

Standard deviation76521.101
Coefficient of variation (CV)1.4161693
Kurtosis3.6353861
Mean54033.865
Median Absolute Deviation (MAD)23505.5
Skewness1.9646701
Sum41606076
Variance5.8554789 × 109
MonotonicityNot monotonic
2024-03-23T13:16:21.302060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27
 
2.2%
64 4
 
0.3%
26 4
 
0.3%
374439 4
 
0.3%
1571 3
 
0.2%
292160 3
 
0.2%
1639 3
 
0.2%
327273 3
 
0.2%
353601 3
 
0.2%
627 3
 
0.2%
Other values (702) 713
58.8%
(Missing) 442
36.5%
ValueCountFrequency (%)
0 27
2.2%
16 1
 
0.1%
26 4
 
0.3%
28 1
 
0.1%
29 1
 
0.1%
30 1
 
0.1%
37 1
 
0.1%
38 1
 
0.1%
40 1
 
0.1%
44 1
 
0.1%
ValueCountFrequency (%)
374439 4
0.3%
353601 3
0.2%
344458 1
 
0.1%
327273 3
0.2%
321219 1
 
0.1%
314250 1
 
0.1%
303589 2
0.2%
292160 3
0.2%
287973 1
 
0.1%
284729 1
 
0.1%

서울시 추가 퇴원
Real number (ℝ)

MISSING  ZEROS 

Distinct364
Distinct (%)47.3%
Missing442
Missing (%)36.5%
Infinite0
Infinite (%)0.0%
Mean572.85714
Minimum0
Maximum20838
Zeros98
Zeros (%)8.1%
Negative0
Negative (%)0.0%
Memory size10.8 KiB
2024-03-23T13:16:21.479231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112
median127
Q3457.75
95-th percentile1451.7
Maximum20838
Range20838
Interquartile range (IQR)445.75

Descriptive statistics

Standard deviation1755.9675
Coefficient of variation (CV)3.0652799
Kurtosis46.206782
Mean572.85714
Median Absolute Deviation (MAD)125
Skewness6.2007154
Sum441100
Variance3083421.8
MonotonicityNot monotonic
2024-03-23T13:16:21.675792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 98
 
8.1%
925 30
 
2.5%
5 17
 
1.4%
9078 15
 
1.2%
1 12
 
1.0%
7 10
 
0.8%
11 9
 
0.7%
8 9
 
0.7%
2 8
 
0.7%
34 7
 
0.6%
Other values (354) 555
45.8%
(Missing) 442
36.5%
ValueCountFrequency (%)
0 98
8.1%
1 12
 
1.0%
2 8
 
0.7%
3 4
 
0.3%
4 7
 
0.6%
5 17
 
1.4%
6 5
 
0.4%
7 10
 
0.8%
8 9
 
0.7%
9 2
 
0.2%
ValueCountFrequency (%)
20838 1
 
0.1%
17185 1
 
0.1%
11429 1
 
0.1%
10661 1
 
0.1%
9143 1
 
0.1%
9078 15
1.2%
6969 1
 
0.1%
6425 1
 
0.1%
6054 1
 
0.1%
4187 1
 
0.1%

서울시 사망
Real number (ℝ)

ZEROS 

Distinct882
Distinct (%)72.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2328.7145
Minimum0
Maximum6492
Zeros63
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size10.8 KiB
2024-03-23T13:16:21.849123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q196.5
median654
Q34971
95-th percentile6382.45
Maximum6492
Range6492
Interquartile range (IQR)4874.5

Descriptive statistics

Standard deviation2504.2372
Coefficient of variation (CV)1.0753732
Kurtosis-1.459347
Mean2328.7145
Median Absolute Deviation (MAD)652
Skewness0.55650122
Sum2822402
Variance6271203.8
MonotonicityDecreasing
2024-03-23T13:16:22.003309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63
 
5.2%
2 35
 
2.9%
4 34
 
2.8%
11 14
 
1.2%
78 12
 
1.0%
13 11
 
0.9%
9 11
 
0.9%
7 9
 
0.7%
6 7
 
0.6%
443 6
 
0.5%
Other values (872) 1010
83.3%
ValueCountFrequency (%)
0 63
5.2%
2 35
2.9%
3 1
 
0.1%
4 34
2.8%
5 1
 
0.1%
6 7
 
0.6%
7 9
 
0.7%
8 4
 
0.3%
9 11
 
0.9%
10 3
 
0.2%
ValueCountFrequency (%)
6492 1
 
0.1%
6486 1
 
0.1%
6485 3
0.2%
6483 1
 
0.1%
6481 1
 
0.1%
6479 1
 
0.1%
6477 1
 
0.1%
6476 1
 
0.1%
6470 1
 
0.1%
6469 1
 
0.1%

서울시 의심환자 전체
Real number (ℝ)

MISSING 

Distinct184
Distinct (%)98.4%
Missing1025
Missing (%)84.6%
Infinite0
Infinite (%)0.0%
Mean156141.93
Minimum0
Maximum364796
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size10.8 KiB
2024-03-23T13:16:22.207542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile847.2
Q157726.5
median123201
Q3261775
95-th percentile349652
Maximum364796
Range364796
Interquartile range (IQR)204048.5

Descriptive statistics

Standard deviation117443.27
Coefficient of variation (CV)0.75215714
Kurtosis-1.2413919
Mean156141.93
Median Absolute Deviation (MAD)93393
Skewness0.32896887
Sum29198541
Variance1.3792921 × 1010
MonotonicityNot monotonic
2024-03-23T13:16:22.401289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1125 2
 
0.2%
8238 2
 
0.2%
35278 2
 
0.2%
68340 1
 
0.1%
69343 1
 
0.1%
65952 1
 
0.1%
92481 1
 
0.1%
92016 1
 
0.1%
90896 1
 
0.1%
89244 1
 
0.1%
Other values (174) 174
 
14.4%
(Missing) 1025
84.6%
ValueCountFrequency (%)
0 1
0.1%
192 1
0.1%
322 1
0.1%
414 1
0.1%
459 1
0.1%
567 1
0.1%
664 1
0.1%
741 1
0.1%
802 1
0.1%
840 1
0.1%
ValueCountFrequency (%)
364796 1
0.1%
363698 1
0.1%
362228 1
0.1%
360452 1
0.1%
358074 1
0.1%
355722 1
0.1%
354151 1
0.1%
353323 1
0.1%
352175 1
0.1%
350384 1
0.1%

서울시 의심환자 검사중
Real number (ℝ)

MISSING 

Distinct182
Distinct (%)96.8%
Missing1024
Missing (%)84.5%
Infinite0
Infinite (%)0.0%
Mean6489.8617
Minimum13
Maximum11202
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.8 KiB
2024-03-23T13:16:22.586910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile64.5
Q14311
median7107.5
Q38937.5
95-th percentile10796.55
Maximum11202
Range11189
Interquartile range (IQR)4626.5

Descriptive statistics

Standard deviation3194.6177
Coefficient of variation (CV)0.49224743
Kurtosis-0.67226371
Mean6489.8617
Median Absolute Deviation (MAD)2200.5
Skewness-0.51598514
Sum1220094
Variance10205582
MonotonicityNot monotonic
2024-03-23T13:16:22.745194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4136 2
 
0.2%
2279 2
 
0.2%
3759 2
 
0.2%
54 2
 
0.2%
71 2
 
0.2%
5589 2
 
0.2%
5407 1
 
0.1%
5283 1
 
0.1%
5178 1
 
0.1%
5018 1
 
0.1%
Other values (172) 172
 
14.2%
(Missing) 1024
84.5%
ValueCountFrequency (%)
13 1
0.1%
16 1
0.1%
24 1
0.1%
28 1
0.1%
38 1
0.1%
45 1
0.1%
53 1
0.1%
54 2
0.2%
61 1
0.1%
71 2
0.2%
ValueCountFrequency (%)
11202 1
0.1%
11185 1
0.1%
11135 1
0.1%
11066 1
0.1%
11027 1
0.1%
11017 1
0.1%
10991 1
0.1%
10917 1
0.1%
10862 1
0.1%
10820 1
0.1%

서울시 의심환자 검사결과(음성)
Real number (ℝ)

MISSING 

Distinct185
Distinct (%)98.4%
Missing1024
Missing (%)84.5%
Infinite0
Infinite (%)0.0%
Mean150840.23
Minimum148
Maximum354960
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.8 KiB
2024-03-23T13:16:22.930058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum148
5-th percentile815.3
Q153834.25
median117286.5
Q3258658.25
95-th percentile340440.5
Maximum354960
Range354812
Interquartile range (IQR)204824

Descriptive statistics

Standard deviation115191.41
Coefficient of variation (CV)0.76366502
Kurtosis-1.2515283
Mean150840.23
Median Absolute Deviation (MAD)91760.5
Skewness0.33975376
Sum28357963
Variance1.326906 × 1010
MonotonicityDecreasing
2024-03-23T13:16:23.082956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31519 2
 
0.2%
5959 2
 
0.2%
1071 2
 
0.2%
88629 1
 
0.1%
87198 1
 
0.1%
86838 1
 
0.1%
85878 1
 
0.1%
84200 1
 
0.1%
82835 1
 
0.1%
80941 1
 
0.1%
Other values (175) 175
 
14.4%
(Missing) 1024
84.5%
ValueCountFrequency (%)
148 1
0.1%
164 1
0.1%
207 1
0.1%
322 1
0.1%
414 1
0.1%
459 1
0.1%
567 1
0.1%
664 1
0.1%
741 1
0.1%
802 1
0.1%
ValueCountFrequency (%)
354960 1
0.1%
354190 1
0.1%
353284 1
0.1%
351837 1
0.1%
349317 1
0.1%
346872 1
0.1%
344705 1
0.1%
343124 1
0.1%
342406 1
0.1%
341109 1
0.1%

전국 기준일
Date

UNIQUE 

Distinct1212
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
Minimum2005-02-20 15:00:00
Maximum2027-02-20 16:00:00
2024-03-23T13:16:23.249815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T13:16:23.428875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

전국 확진
Real number (ℝ)

Distinct1201
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9044084.2
Minimum18
Maximum31703511
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.8 KiB
2024-03-23T13:16:23.617023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile10262.85
Q135035.25
median312531
Q319720858
95-th percentile30814428
Maximum31703511
Range31703493
Interquartile range (IQR)19685823

Descriptive statistics

Standard deviation12148780
Coefficient of variation (CV)1.3432847
Kurtosis-1.1244574
Mean9044084.2
Median Absolute Deviation (MAD)301744.5
Skewness0.79997141
Sum1.096143 × 1010
Variance1.4759285 × 1014
MonotonicityNot monotonic
2024-03-23T13:16:23.778117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28.0 5
 
0.4%
24.0 3
 
0.2%
31665571.0 2
 
0.2%
30829827.0 2
 
0.2%
27.0 2
 
0.2%
30555102.0 2
 
0.2%
30489666.0 2
 
0.2%
31703511.0 1
 
0.1%
97757.0 1
 
0.1%
95176.0 1
 
0.1%
Other values (1191) 1191
98.3%
ValueCountFrequency (%)
18.0 1
 
0.1%
24.0 3
0.2%
27.0 2
 
0.2%
28.0 5
0.4%
29.0 1
 
0.1%
30.0 1
 
0.1%
31.0 1
 
0.1%
82.0 1
 
0.1%
104.0 1
 
0.1%
204.0 1
 
0.1%
ValueCountFrequency (%)
31703511.0 1
0.1%
31679100.0 1
0.1%
31665571.0 2
0.2%
31647238.0 1
0.1%
31629442.0 1
0.1%
31611509.0 1
0.1%
31592429.0 1
0.1%
31569468.0 1
0.1%
31548083.0 1
0.1%
31541285.0 1
0.1%

전국 추가 확진
Real number (ℝ)

ZEROS 

Distinct999
Distinct (%)82.5%
Missing1
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean26162.917
Minimum0
Maximum621266
Zeros77
Zeros (%)6.4%
Negative0
Negative (%)0.0%
Memory size10.8 KiB
2024-03-23T13:16:23.957316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1355.5
median1940
Q320278
95-th percentile125219
Maximum621266
Range621266
Interquartile range (IQR)19922.5

Descriptive statistics

Standard deviation61890.752
Coefficient of variation (CV)2.3655907
Kurtosis22.531624
Mean26162.917
Median Absolute Deviation (MAD)1940
Skewness4.2838089
Sum31683292
Variance3.8304652 × 109
MonotonicityNot monotonic
2024-03-23T13:16:24.139145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 77
 
6.4%
34 6
 
0.5%
63 6
 
0.5%
39 5
 
0.4%
61 5
 
0.4%
51 4
 
0.3%
43 4
 
0.3%
58 4
 
0.3%
38 4
 
0.3%
28 3
 
0.2%
Other values (989) 1093
90.2%
ValueCountFrequency (%)
0 77
6.4%
2 1
 
0.1%
3 1
 
0.1%
4 2
 
0.2%
6 2
 
0.2%
8 2
 
0.2%
9 2
 
0.2%
10 3
 
0.2%
11 1
 
0.1%
12 2
 
0.2%
ValueCountFrequency (%)
621266 1
0.1%
490881 1
0.1%
424641 1
0.1%
407017 1
0.1%
400741 1
0.1%
395598 1
0.1%
383665 1
0.1%
381454 1
0.1%
362338 1
0.1%
353980 1
0.1%

전국 치료중
Real number (ℝ)

ZEROS 

Distinct741
Distinct (%)61.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74737.519
Minimum0
Maximum5468389
Zeros442
Zeros (%)36.5%
Negative0
Negative (%)0.0%
Memory size10.8 KiB
2024-03-23T13:16:24.377408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1741
Q38944.5
95-th percentile111221.1
Maximum5468389
Range5468389
Interquartile range (IQR)8944.5

Descriptive statistics

Standard deviation438203.82
Coefficient of variation (CV)5.8632375
Kurtosis78.917903
Mean74737.519
Median Absolute Deviation (MAD)1741
Skewness8.4969981
Sum90581873
Variance1.9202259 × 1011
MonotonicityNot monotonic
2024-03-23T13:16:24.552730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 442
36.5%
11205 3
 
0.2%
1008 3
 
0.2%
24 3
 
0.2%
21 3
 
0.2%
1443 2
 
0.2%
770 2
 
0.2%
877 2
 
0.2%
8394 2
 
0.2%
898 2
 
0.2%
Other values (731) 748
61.7%
ValueCountFrequency (%)
0 442
36.5%
18 1
 
0.1%
19 2
 
0.2%
20 2
 
0.2%
21 3
 
0.2%
22 2
 
0.2%
23 1
 
0.1%
24 3
 
0.2%
66 1
 
0.1%
87 1
 
0.1%
ValueCountFrequency (%)
5468389 1
0.1%
5106354 1
0.1%
4796785 1
0.1%
4446860 1
0.1%
4254654 1
0.1%
4029342 1
0.1%
3702016 1
0.1%
3426322 1
0.1%
3350336 1
0.1%
3139762 1
0.1%

전국 퇴원
Real number (ℝ)

MISSING 

Distinct748
Distinct (%)97.1%
Missing442
Missing (%)36.5%
Infinite0
Infinite (%)0.0%
Mean178991.83
Minimum0
Maximum1749273
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size10.8 KiB
2024-03-23T13:16:24.743881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile768
Q113903.25
median78722
Q3229958.25
95-th percentile645757.5
Maximum1749273
Range1749273
Interquartile range (IQR)216055

Descriptive statistics

Standard deviation270193.85
Coefficient of variation (CV)1.5095318
Kurtosis10.087568
Mean178991.83
Median Absolute Deviation (MAD)68146
Skewness2.8428306
Sum1.3782371 × 108
Variance7.3004716 × 1010
MonotonicityNot monotonic
2024-03-23T13:16:26.407240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1749273 4
 
0.3%
1307545 3
 
0.2%
1057269 3
 
0.2%
7 3
 
0.2%
1500662 2
 
0.2%
16 2
 
0.2%
549488 2
 
0.2%
21666 2
 
0.2%
10856 2
 
0.2%
595645 2
 
0.2%
Other values (738) 745
61.5%
(Missing) 442
36.5%
ValueCountFrequency (%)
0 1
 
0.1%
1 1
 
0.1%
2 2
0.2%
3 2
0.2%
4 1
 
0.1%
7 3
0.2%
9 2
0.2%
10 1
 
0.1%
12 1
 
0.1%
16 2
0.2%
ValueCountFrequency (%)
1749273 4
0.3%
1558097 1
 
0.1%
1500662 2
0.2%
1434083 1
 
0.1%
1307545 3
0.2%
1271414 1
 
0.1%
1229994 1
 
0.1%
1166972 2
0.2%
1057269 3
0.2%
1030384 1
 
0.1%

전국 사망
Real number (ℝ)

ZEROS 

Distinct1110
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11587.741
Minimum0
Maximum34784
Zeros15
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size10.8 KiB
2024-03-23T13:16:26.609569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile184.65
Q1534.25
median2505.5
Q325084.5
95-th percentile34267.25
Maximum34784
Range34784
Interquartile range (IQR)24550.25

Descriptive statistics

Standard deviation13290.307
Coefficient of variation (CV)1.1469282
Kurtosis-1.3311906
Mean11587.741
Median Absolute Deviation (MAD)2266.5
Skewness0.67502797
Sum14044342
Variance1.7663225 × 108
MonotonicityNot monotonic
2024-03-23T13:16:26.840075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15
 
1.2%
305 9
 
0.7%
282 9
 
0.7%
273 6
 
0.5%
256 5
 
0.4%
280 5
 
0.4%
301 5
 
0.4%
269 5
 
0.4%
277 4
 
0.3%
309 4
 
0.3%
Other values (1100) 1145
94.5%
ValueCountFrequency (%)
0 15
1.2%
1 2
 
0.2%
2 1
 
0.1%
5 1
 
0.1%
7 1
 
0.1%
11 1
 
0.1%
12 1
 
0.1%
13 2
 
0.2%
17 1
 
0.1%
18 1
 
0.1%
ValueCountFrequency (%)
34784 2
0.2%
34781 1
0.1%
34767 1
0.1%
34760 2
0.2%
34736 1
0.1%
34719 1
0.1%
34702 1
0.1%
34687 1
0.1%
34675 1
0.1%
34670 1
0.1%

전국 의심환자 전체
Real number (ℝ)

MISSING 

Distinct186
Distinct (%)99.5%
Missing1025
Missing (%)84.6%
Infinite0
Infinite (%)0.0%
Mean738725.84
Minimum200
Maximum1624650
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.8 KiB
2024-03-23T13:16:27.074118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200
5-th percentile7297.1
Q1325979
median644041
Q31189795
95-th percentile1547227.5
Maximum1624650
Range1624450
Interquartile range (IQR)863816

Descriptive statistics

Standard deviation504372.19
Coefficient of variation (CV)0.68275964
Kurtosis-1.207281
Mean738725.84
Median Absolute Deviation (MAD)429401
Skewness0.17065452
Sum1.3814173 × 108
Variance2.5439131 × 1011
MonotonicityNot monotonic
2024-03-23T13:16:27.264228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
378447 2
 
0.2%
433211 1
 
0.1%
504109 1
 
0.1%
499999 1
 
0.1%
492601 1
 
0.1%
484288 1
 
0.1%
457619 1
 
0.1%
466973 1
 
0.1%
456520 1
 
0.1%
450996 1
 
0.1%
Other values (176) 176
 
14.5%
(Missing) 1025
84.6%
ValueCountFrequency (%)
200 1
0.1%
591 1
0.1%
1106 1
0.1%
1677 1
0.1%
2571 1
0.1%
3083 1
0.1%
3601 1
0.1%
5596 1
0.1%
6483 1
0.1%
7214 1
0.1%
ValueCountFrequency (%)
1624650 1
0.1%
1620514 1
0.1%
1599133 1
0.1%
1591988 1
0.1%
1583731 1
0.1%
1575357 1
0.1%
1565368 1
0.1%
1561880 1
0.1%
1557494 1
0.1%
1549491 1
0.1%

전국 의심환자 검사중
Real number (ℝ)

MISSING 

Distinct188
Distinct (%)100.0%
Missing1024
Missing (%)84.5%
Infinite0
Infinite (%)0.0%
Mean17049.702
Minimum169
Maximum35555
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.8 KiB
2024-03-23T13:16:27.518343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum169
5-th percentile734.95
Q113748
median18397.5
Q321588.25
95-th percentile27922.85
Maximum35555
Range35386
Interquartile range (IQR)7840.25

Descriptive statistics

Standard deviation7446.7422
Coefficient of variation (CV)0.4367667
Kurtosis0.33410201
Mean17049.702
Median Absolute Deviation (MAD)3601
Skewness-0.52742031
Sum3205344
Variance55453969
MonotonicityNot monotonic
2024-03-23T13:16:27.746673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17885 1
 
0.1%
14070 1
 
0.1%
15298 1
 
0.1%
15509 1
 
0.1%
17858 1
 
0.1%
20650 1
 
0.1%
19295 1
 
0.1%
19571 1
 
0.1%
20144 1
 
0.1%
18908 1
 
0.1%
Other values (178) 178
 
14.7%
(Missing) 1024
84.5%
ValueCountFrequency (%)
169 1
0.1%
174 1
0.1%
264 1
0.1%
485 1
0.1%
531 1
0.1%
535 1
0.1%
562 1
0.1%
620 1
0.1%
638 1
0.1%
708 1
0.1%
ValueCountFrequency (%)
35555 1
0.1%
35182 1
0.1%
33799 1
0.1%
33360 1
0.1%
30237 1
0.1%
28922 1
0.1%
28766 1
0.1%
28414 1
0.1%
28199 1
0.1%
27954 1
0.1%

전국 의심환자 검사결과(음성)
Real number (ℝ)

MISSING 

Distinct188
Distinct (%)100.0%
Missing1024
Missing (%)84.5%
Infinite0
Infinite (%)0.0%
Mean726312.72
Minimum522
Maximum1597281
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.8 KiB
2024-03-23T13:16:28.014177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum522
5-th percentile6739.9
Q1313671
median637605.5
Q31179116.5
95-th percentile1536396.8
Maximum1597281
Range1596759
Interquartile range (IQR)865445.5

Descriptive statistics

Standard deviation503194.45
Coefficient of variation (CV)0.69280688
Kurtosis-1.2105061
Mean726312.72
Median Absolute Deviation (MAD)428742.5
Skewness0.17242292
Sum1.3654679 × 108
Variance2.5320466 × 1011
MonotonicityNot monotonic
2024-03-23T13:16:28.252010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
403882 1
 
0.1%
485929 1
 
0.1%
477303 1
 
0.1%
468779 1
 
0.1%
457761 1
 
0.1%
446323 1
 
0.1%
437225 1
 
0.1%
431425 1
 
0.1%
424732 1
 
0.1%
414303 1
 
0.1%
Other values (178) 178
 
14.7%
(Missing) 1024
84.5%
ValueCountFrequency (%)
522 1
0.1%
693 1
0.1%
842 1
0.1%
1057 1
0.1%
1683 1
0.1%
2552 1
0.1%
2736 1
0.1%
4811 1
0.1%
5921 1
0.1%
6679 1
0.1%
ValueCountFrequency (%)
1597281 1
0.1%
1593249 1
0.1%
1589847 1
0.1%
1582065 1
0.1%
1573957 1
0.1%
1565241 1
0.1%
1556633 1
0.1%
1547967 1
0.1%
1544112 1
0.1%
1539216 1
0.1%

자가격리자 해외입국자 감시중
Real number (ℝ)

MISSING  ZEROS 

Distinct117
Distinct (%)62.2%
Missing1024
Missing (%)84.5%
Infinite0
Infinite (%)0.0%
Mean5891.0053
Minimum0
Maximum23069
Zeros67
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size10.8 KiB
2024-03-23T13:16:28.463642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7338.5
Q38344.25
95-th percentile16561.25
Maximum23069
Range23069
Interquartile range (IQR)8344.25

Descriptive statistics

Standard deviation5180.4648
Coefficient of variation (CV)0.87938552
Kurtosis0.3740554
Mean5891.0053
Median Absolute Deviation (MAD)1655.5
Skewness0.58694402
Sum1107509
Variance26837215
MonotonicityNot monotonic
2024-03-23T13:16:28.639908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 67
 
5.5%
7481 2
 
0.2%
7737 2
 
0.2%
8795 2
 
0.2%
7022 2
 
0.2%
6428 2
 
0.2%
8477 1
 
0.1%
8157 1
 
0.1%
8269 1
 
0.1%
8142 1
 
0.1%
Other values (107) 107
 
8.8%
(Missing) 1024
84.5%
ValueCountFrequency (%)
0 67
5.5%
6115 1
 
0.1%
6187 1
 
0.1%
6252 1
 
0.1%
6254 1
 
0.1%
6332 1
 
0.1%
6428 2
 
0.2%
6539 1
 
0.1%
6556 1
 
0.1%
6581 1
 
0.1%
ValueCountFrequency (%)
23069 1
0.1%
21934 1
0.1%
19285 1
0.1%
18696 1
0.1%
18620 1
0.1%
18002 1
0.1%
17243 1
0.1%
17085 1
0.1%
17029 1
0.1%
16703 1
0.1%

자가격리자 해외입국자 감시해제
Real number (ℝ)

MISSING  ZEROS 

Distinct121
Distinct (%)64.4%
Missing1024
Missing (%)84.5%
Infinite0
Infinite (%)0.0%
Mean34835.085
Minimum0
Maximum97189
Zeros67
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size10.8 KiB
2024-03-23T13:16:28.791931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median32106
Q364239.25
95-th percentile91093
Maximum97189
Range97189
Interquartile range (IQR)64239.25

Descriptive statistics

Standard deviation33143.251
Coefficient of variation (CV)0.95143305
Kurtosis-1.3382588
Mean34835.085
Median Absolute Deviation (MAD)32106
Skewness0.34229635
Sum6548996
Variance1.0984751 × 109
MonotonicityNot monotonic
2024-03-23T13:16:28.950441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 67
 
5.5%
91296 2
 
0.2%
42863 1
 
0.1%
34778 1
 
0.1%
35251 1
 
0.1%
35874 1
 
0.1%
36512 1
 
0.1%
37208 1
 
0.1%
38108 1
 
0.1%
39008 1
 
0.1%
Other values (111) 111
 
9.2%
(Missing) 1024
84.5%
ValueCountFrequency (%)
0 67
5.5%
2885 1
 
0.1%
3922 1
 
0.1%
4850 1
 
0.1%
5866 1
 
0.1%
6745 1
 
0.1%
8481 1
 
0.1%
10214 1
 
0.1%
11487 1
 
0.1%
12813 1
 
0.1%
ValueCountFrequency (%)
97189 1
0.1%
96474 1
0.1%
95603 1
0.1%
95070 1
0.1%
94591 1
0.1%
94028 1
0.1%
93620 1
0.1%
92605 1
0.1%
91296 2
0.2%
90716 1
0.1%

자가격리자 접촉자 감시중
Real number (ℝ)

MISSING  ZEROS 

Distinct119
Distinct (%)63.3%
Missing1024
Missing (%)84.5%
Infinite0
Infinite (%)0.0%
Mean1749.1489
Minimum0
Maximum5176
Zeros67
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size10.8 KiB
2024-03-23T13:16:29.139266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2175.5
Q32962.25
95-th percentile4189.15
Maximum5176
Range5176
Interquartile range (IQR)2962.25

Descriptive statistics

Standard deviation1534.7624
Coefficient of variation (CV)0.87743379
Kurtosis-1.425381
Mean1749.1489
Median Absolute Deviation (MAD)1515
Skewness0.11810197
Sum328840
Variance2355495.5
MonotonicityNot monotonic
2024-03-23T13:16:29.334697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 67
 
5.5%
3464 2
 
0.2%
3299 2
 
0.2%
2422 2
 
0.2%
2418 1
 
0.1%
2555 1
 
0.1%
2890 1
 
0.1%
2863 1
 
0.1%
3230 1
 
0.1%
3662 1
 
0.1%
Other values (109) 109
 
9.0%
(Missing) 1024
84.5%
ValueCountFrequency (%)
0 67
5.5%
607 1
 
0.1%
634 1
 
0.1%
654 1
 
0.1%
659 1
 
0.1%
662 1
 
0.1%
895 1
 
0.1%
948 1
 
0.1%
952 1
 
0.1%
1026 1
 
0.1%
ValueCountFrequency (%)
5176 1
0.1%
4456 1
0.1%
4451 1
0.1%
4384 1
0.1%
4338 1
0.1%
4312 1
0.1%
4279 1
0.1%
4274 1
0.1%
4229 1
0.1%
4221 1
0.1%

자가격리자 접촉자 감시해제
Real number (ℝ)

MISSING  ZEROS 

Distinct119
Distinct (%)63.3%
Missing1024
Missing (%)84.5%
Infinite0
Infinite (%)0.0%
Mean15148.319
Minimum0
Maximum36421
Zeros67
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size10.8 KiB
2024-03-23T13:16:29.481121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median16102
Q326685.75
95-th percentile34542
Maximum36421
Range36421
Interquartile range (IQR)26685.75

Descriptive statistics

Standard deviation12847.146
Coefficient of variation (CV)0.8480905
Kurtosis-1.4433711
Mean15148.319
Median Absolute Deviation (MAD)15394.5
Skewness0.05186185
Sum2847884
Variance1.6504915 × 108
MonotonicityNot monotonic
2024-03-23T13:16:29.673142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 67
 
5.5%
25452 2
 
0.2%
25790 2
 
0.2%
34542 2
 
0.2%
16316 1
 
0.1%
16326 1
 
0.1%
16380 1
 
0.1%
17603 1
 
0.1%
16416 1
 
0.1%
16464 1
 
0.1%
Other values (109) 109
 
9.0%
(Missing) 1024
84.5%
ValueCountFrequency (%)
0 67
5.5%
10413 1
 
0.1%
10998 1
 
0.1%
11400 1
 
0.1%
12202 1
 
0.1%
12367 1
 
0.1%
13009 1
 
0.1%
13322 1
 
0.1%
13625 1
 
0.1%
13849 1
 
0.1%
ValueCountFrequency (%)
36421 1
0.1%
35407 1
0.1%
35397 1
0.1%
35307 1
0.1%
35129 1
0.1%
34988 1
0.1%
34906 1
0.1%
34804 1
0.1%
34773 1
0.1%
34542 2
0.2%

확인중 확진자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
0
1200 
<NA>
 
12

Length

Max length4
Median length1
Mean length1.029703
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1200
99.0%
<NA> 12
 
1.0%

Length

2024-03-23T13:16:29.850282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T13:16:29.963185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1200
99.0%
na 12
 
1.0%

서울시 당일사망자
Real number (ℝ)

MISSING  ZEROS 

Distinct49
Distinct (%)10.7%
Missing754
Missing (%)62.2%
Infinite0
Infinite (%)0.0%
Mean8.9956332
Minimum0
Maximum68
Zeros29
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size10.8 KiB
2024-03-23T13:16:30.058751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q310
95-th percentile40.15
Maximum68
Range68
Interquartile range (IQR)8

Descriptive statistics

Standard deviation12.539826
Coefficient of variation (CV)1.3939904
Kurtosis6.7301769
Mean8.9956332
Median Absolute Deviation (MAD)3
Skewness2.570362
Sum4120
Variance157.24725
MonotonicityNot monotonic
2024-03-23T13:16:30.264178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1 61
 
5.0%
2 56
 
4.6%
3 49
 
4.0%
4 37
 
3.1%
5 36
 
3.0%
0 29
 
2.4%
6 23
 
1.9%
9 18
 
1.5%
10 15
 
1.2%
7 15
 
1.2%
Other values (39) 119
 
9.8%
(Missing) 754
62.2%
ValueCountFrequency (%)
0 29
2.4%
1 61
5.0%
2 56
4.6%
3 49
4.0%
4 37
3.1%
5 36
3.0%
6 23
 
1.9%
7 15
 
1.2%
8 12
 
1.0%
9 18
 
1.5%
ValueCountFrequency (%)
68 1
 
0.1%
67 1
 
0.1%
64 2
0.2%
61 2
0.2%
59 1
 
0.1%
58 2
0.2%
54 1
 
0.1%
49 1
 
0.1%
47 2
0.2%
46 3
0.2%

전국 당일 사망자
Real number (ℝ)

MISSING  ZEROS 

Distinct126
Distinct (%)27.5%
Missing754
Missing (%)62.2%
Infinite0
Infinite (%)0.0%
Mean52.196507
Minimum0
Maximum470
Zeros17
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size10.8 KiB
2024-03-23T13:16:30.410952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q111
median27
Q355
95-th percentile274.35
Maximum470
Range470
Interquartile range (IQR)44

Descriptive statistics

Standard deviation79.580084
Coefficient of variation (CV)1.5246247
Kurtosis9.1764017
Mean52.196507
Median Absolute Deviation (MAD)19
Skewness3.0352041
Sum23906
Variance6332.9897
MonotonicityNot monotonic
2024-03-23T13:16:30.592277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17
 
1.4%
10 16
 
1.3%
7 15
 
1.2%
11 13
 
1.1%
6 12
 
1.0%
12 12
 
1.0%
9 11
 
0.9%
8 11
 
0.9%
17 11
 
0.9%
18 10
 
0.8%
Other values (116) 330
27.2%
(Missing) 754
62.2%
ValueCountFrequency (%)
0 17
1.4%
2 4
 
0.3%
3 10
0.8%
4 5
 
0.4%
5 9
0.7%
6 12
1.0%
7 15
1.2%
8 11
0.9%
9 11
0.9%
10 16
1.3%
ValueCountFrequency (%)
470 1
0.1%
432 1
0.1%
429 1
0.1%
393 1
0.1%
384 1
0.1%
375 1
0.1%
373 1
0.1%
371 1
0.1%
360 1
0.1%
348 1
0.1%

Sample

서울시 기준일서울시 확진자서울시 추가 확진서울시 치료중서울시 퇴원서울시 추가 퇴원서울시 사망서울시 의심환자 전체서울시 의심환자 검사중서울시 의심환자 검사결과(음성)전국 기준일전국 확진전국 추가 확진전국 치료중전국 퇴원전국 사망전국 의심환자 전체전국 의심환자 검사중전국 의심환자 검사결과(음성)자가격리자 해외입국자 감시중자가격리자 해외입국자 감시해제자가격리자 접촉자 감시중자가격리자 접촉자 감시해제확인중 확진자서울시 당일사망자전국 당일 사망자
02023.05.31.00620427759870<NA><NA>6492<NA><NA><NA>2023.05.31.0031703511.0244110<NA>34784<NA><NA><NA><NA><NA><NA><NA>0617
12023.05.30.00619829033260<NA><NA>6486<NA><NA><NA>2023.05.30.0031679100.0135290<NA>34767<NA><NA><NA><NA><NA><NA><NA>017
22023.05.29.00619496413930<NA><NA>6485<NA><NA><NA>2023.05.29.0031665571.068680<NA>34760<NA><NA><NA><NA><NA><NA><NA>013
32023.05.28.00619496413930<NA><NA>6485<NA><NA><NA>2023.05.28.0031665571.068680<NA>34760<NA><NA><NA><NA><NA><NA><NA>013
42023.05.27.00619119640780<NA><NA>6485<NA><NA><NA>2023.05.27.0031647238.0177960<NA>34784<NA><NA><NA><NA><NA><NA><NA>003
52023.05.26.00618727942170<NA><NA>6483<NA><NA><NA>2023.05.26.0031629442.0179330<NA>34781<NA><NA><NA><NA><NA><NA><NA>0215
62023.05.25.00618306244350<NA><NA>6481<NA><NA><NA>2023.05.25.0031611509.0190800<NA>34736<NA><NA><NA><NA><NA><NA><NA>0217
72023.05.24.00617862753120<NA><NA>6479<NA><NA><NA>2023.05.24.0031592429.0229610<NA>34719<NA><NA><NA><NA><NA><NA><NA>0217
82023.05.23.00617331553620<NA><NA>6477<NA><NA><NA>2023.05.23.0031569468.0213850<NA>34702<NA><NA><NA><NA><NA><NA><NA>0115
92023.05.22.00616795312710<NA><NA>6476<NA><NA><NA>2023.05.22.0031548083.067980<NA>34687<NA><NA><NA><NA><NA><NA><NA>0612
서울시 기준일서울시 확진자서울시 추가 확진서울시 치료중서울시 퇴원서울시 추가 퇴원서울시 사망서울시 의심환자 전체서울시 의심환자 검사중서울시 의심환자 검사결과(음성)전국 기준일전국 확진전국 추가 확진전국 치료중전국 퇴원전국 사망전국 의심환자 전체전국 의심환자 검사중전국 의심환자 검사결과(음성)자가격리자 해외입국자 감시중자가격리자 해외입국자 감시해제자가격리자 접촉자 감시중자가격리자 접촉자 감시해제확인중 확진자서울시 당일사망자전국 당일 사망자
120220.02.14.18100100008403880220.02.14.1828.002170721453566790000<NA><NA><NA>
120320.02.13.18100100008026174120.02.13.1828.002170648356259210000<NA><NA><NA>
120420.02.12.18100100007417766420.02.12.1828.002170559678548110000<NA><NA><NA>
120520.02.11.18100100006649756720.02.11.1828.002440360186527360000<NA><NA><NA>
120620.02.10.181001000056710845920.02.10.1827.002430308353125520000<NA><NA><NA>
120720.02.09.18100100004594541420.02.09.1827.002430257188816830000<NA><NA><NA>
120820.02.08.18100100004149232220.02.08.1824.002220167762010570000<NA><NA><NA>
120920.02.07.181001000032211520720.02.07.1824.00222011062648420000<NA><NA><NA>
121020.02.06.09110110001922816420.02.06.0924.00231059116969300000<NA><NA>
121120.02.05.1580800001614820.02.05.1518.00180020017452200000<NA><NA>