Overview

Dataset statistics

Number of variables25
Number of observations44
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.7 KiB
Average record size in memory226.0 B

Variable types

DateTime1
Numeric13
Categorical11

Dataset

Description서울특별시 금천구 관내 월별 코로나 확진자 및 사망자 현황으로 년월, 확진자 수, 데이터 기준 일자 데이터를 제공합니다.
Author서울특별시 금천구
URLhttps://www.data.go.kr/data/15098690/fileData.do

Alerts

데이터 기준 일자 has constant value ""Constant
가산동 사망자 is highly imbalanced (51.5%)Imbalance
독산2동 사망자 is highly imbalanced (61.3%)Imbalance
시흥3동 사망자 is highly imbalanced (73.4%)Imbalance
시흥5동 사망자 is highly imbalanced (55.8%)Imbalance
연월 has unique valuesUnique
총 확진자 수 has 2 (4.5%) zerosZeros
총 사망자 수 has 17 (38.6%) zerosZeros
가산동 확진자 has 6 (13.6%) zerosZeros
독산1동 확진자 has 4 (9.1%) zerosZeros
독산2동 확진자 has 7 (15.9%) zerosZeros
독산3동 확진자 has 5 (11.4%) zerosZeros
독산4동 확진자 has 7 (15.9%) zerosZeros
시흥1동 확진자 has 5 (11.4%) zerosZeros
시흥2동 확진자 has 6 (13.6%) zerosZeros
시흥3동 확진자 has 10 (22.7%) zerosZeros
시흥4동 확진자 has 8 (18.2%) zerosZeros
시흥5동 확진자 has 8 (18.2%) zerosZeros
기타 확진자 has 27 (61.4%) zerosZeros

Reproduction

Analysis started2024-04-18 00:47:18.127767
Analysis finished2024-04-18 00:47:18.315663
Duration0.19 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연월
Date

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
Minimum2020-01-01 00:00:00
Maximum2023-08-01 00:00:00
2024-04-18T09:47:18.367657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T09:47:18.472894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)

총 확진자 수
Real number (ℝ)

ZEROS 

Distinct43
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3454.6818
Minimum0
Maximum48115
Zeros2
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-04-18T09:47:18.574684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.3
Q132.25
median706
Q33629.5
95-th percentile13357.95
Maximum48115
Range48115
Interquartile range (IQR)3597.25

Descriptive statistics

Standard deviation7829.427
Coefficient of variation (CV)2.2663236
Kurtosis25.374024
Mean3454.6818
Median Absolute Deviation (MAD)700
Skewness4.6552568
Sum152006
Variance61299926
MonotonicityNot monotonic
2024-04-18T09:47:18.681818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0 2
 
4.5%
1 1
 
2.3%
11635 1
 
2.3%
48115 1
 
2.3%
15547 1
 
2.3%
2697 1
 
2.3%
770 1
 
2.3%
5419 1
 
2.3%
13662 1
 
2.3%
6199 1
 
2.3%
Other values (33) 33
75.0%
ValueCountFrequency (%)
0 2
4.5%
1 1
2.3%
3 1
2.3%
5 1
2.3%
7 1
2.3%
11 1
2.3%
17 1
2.3%
20 1
2.3%
25 1
2.3%
27 1
2.3%
ValueCountFrequency (%)
48115 1
2.3%
15547 1
2.3%
13662 1
2.3%
11635 1
2.3%
7853 1
2.3%
6403 1
2.3%
6199 1
2.3%
5419 1
2.3%
5233 1
2.3%
4455 1
2.3%

총 사망자 수
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)29.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2045455
Minimum0
Maximum24
Zeros17
Zeros (%)38.6%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-04-18T09:47:18.780082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34.25
95-th percentile12.4
Maximum24
Range24
Interquartile range (IQR)4.25

Descriptive statistics

Standard deviation4.9395393
Coefficient of variation (CV)1.5414165
Kurtosis7.4151484
Mean3.2045455
Median Absolute Deviation (MAD)1
Skewness2.5157313
Sum141
Variance24.399049
MonotonicityNot monotonic
2024-04-18T09:47:18.865900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 17
38.6%
1 6
 
13.6%
2 5
 
11.4%
3 4
 
9.1%
7 3
 
6.8%
6 2
 
4.5%
8 1
 
2.3%
17 1
 
2.3%
13 1
 
2.3%
24 1
 
2.3%
Other values (3) 3
 
6.8%
ValueCountFrequency (%)
0 17
38.6%
1 6
 
13.6%
2 5
 
11.4%
3 4
 
9.1%
4 1
 
2.3%
5 1
 
2.3%
6 2
 
4.5%
7 3
 
6.8%
8 1
 
2.3%
9 1
 
2.3%
ValueCountFrequency (%)
24 1
 
2.3%
17 1
 
2.3%
13 1
 
2.3%
9 1
 
2.3%
8 1
 
2.3%
7 3
6.8%
6 2
4.5%
5 1
 
2.3%
4 1
 
2.3%
3 4
9.1%

가산동 확진자
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)84.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean399.68182
Minimum0
Maximum5139
Zeros6
Zeros (%)13.6%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-04-18T09:47:18.963544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.5
median118
Q3452.75
95-th percentile1476.6
Maximum5139
Range5139
Interquartile range (IQR)448.25

Descriptive statistics

Standard deviation842.31524
Coefficient of variation (CV)2.1074645
Kurtosis23.874225
Mean399.68182
Median Absolute Deviation (MAD)117
Skewness4.4697299
Sum17586
Variance709494.97
MonotonicityNot monotonic
2024-04-18T09:47:19.068932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0 6
 
13.6%
3 2
 
4.5%
1 2
 
4.5%
614 1
 
2.3%
716 1
 
2.3%
412 1
 
2.3%
115 1
 
2.3%
729 1
 
2.3%
1518 1
 
2.3%
690 1
 
2.3%
Other values (27) 27
61.4%
ValueCountFrequency (%)
0 6
13.6%
1 2
 
4.5%
2 1
 
2.3%
3 2
 
4.5%
5 1
 
2.3%
9 1
 
2.3%
10 1
 
2.3%
15 1
 
2.3%
16 1
 
2.3%
21 1
 
2.3%
ValueCountFrequency (%)
5139 1
2.3%
1695 1
2.3%
1518 1
2.3%
1242 1
2.3%
1022 1
2.3%
729 1
2.3%
716 1
2.3%
690 1
2.3%
614 1
2.3%
595 1
2.3%

독산1동 확진자
Real number (ℝ)

ZEROS 

Distinct40
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean664.15909
Minimum0
Maximum9179
Zeros4
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-04-18T09:47:19.187177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18.75
median130
Q3710
95-th percentile2532.65
Maximum9179
Range9179
Interquartile range (IQR)701.25

Descriptive statistics

Standard deviation1498.8795
Coefficient of variation (CV)2.2568079
Kurtosis24.901601
Mean664.15909
Median Absolute Deviation (MAD)129.5
Skewness4.5970098
Sum29223
Variance2246639.8
MonotonicityNot monotonic
2024-04-18T09:47:19.295096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0 4
 
9.1%
1 2
 
4.5%
1027 1
 
2.3%
663 1
 
2.3%
9179 1
 
2.3%
2844 1
 
2.3%
520 1
 
2.3%
171 1
 
2.3%
1140 1
 
2.3%
2525 1
 
2.3%
Other values (30) 30
68.2%
ValueCountFrequency (%)
0 4
9.1%
1 2
4.5%
3 1
 
2.3%
5 1
 
2.3%
6 1
 
2.3%
7 1
 
2.3%
8 1
 
2.3%
9 1
 
2.3%
11 1
 
2.3%
12 1
 
2.3%
ValueCountFrequency (%)
9179 1
2.3%
2844 1
2.3%
2534 1
2.3%
2525 1
2.3%
1533 1
2.3%
1324 1
2.3%
1140 1
2.3%
1135 1
2.3%
1027 1
2.3%
875 1
2.3%

독산2동 확진자
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean264.13636
Minimum0
Maximum3775
Zeros7
Zeros (%)15.9%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-04-18T09:47:19.398626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.5
median56
Q3275.5
95-th percentile996.15
Maximum3775
Range3775
Interquartile range (IQR)273

Descriptive statistics

Standard deviation609.71006
Coefficient of variation (CV)2.3083155
Kurtosis26.448571
Mean264.13636
Median Absolute Deviation (MAD)56
Skewness4.7751313
Sum11622
Variance371746.35
MonotonicityNot monotonic
2024-04-18T09:47:19.503173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 7
 
15.9%
1 4
 
9.1%
3 2
 
4.5%
4 2
 
4.5%
15 2
 
4.5%
92 1
 
2.3%
269 1
 
2.3%
466 1
 
2.3%
563 1
 
2.3%
295 1
 
2.3%
Other values (22) 22
50.0%
ValueCountFrequency (%)
0 7
15.9%
1 4
9.1%
3 2
 
4.5%
4 2
 
4.5%
6 1
 
2.3%
15 2
 
4.5%
28 1
 
2.3%
41 1
 
2.3%
47 1
 
2.3%
55 1
 
2.3%
ValueCountFrequency (%)
3775 1
2.3%
1229 1
2.3%
1035 1
2.3%
776 1
2.3%
563 1
2.3%
502 1
2.3%
466 1
2.3%
434 1
2.3%
383 1
2.3%
378 1
2.3%

독산3동 확진자
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)77.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean385.86364
Minimum0
Maximum5080
Zeros5
Zeros (%)11.4%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-04-18T09:47:19.609570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15.25
median109
Q3445.25
95-th percentile1492.75
Maximum5080
Range5080
Interquartile range (IQR)440

Descriptive statistics

Standard deviation839.75535
Coefficient of variation (CV)2.1763008
Kurtosis23.313598
Mean385.86364
Median Absolute Deviation (MAD)108
Skewness4.4446638
Sum16978
Variance705189.05
MonotonicityNot monotonic
2024-04-18T09:47:19.714739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 5
 
11.4%
97 2
 
4.5%
2 2
 
4.5%
3 2
 
4.5%
1 2
 
4.5%
6 2
 
4.5%
121 2
 
4.5%
690 1
 
2.3%
439 1
 
2.3%
645 1
 
2.3%
Other values (24) 24
54.5%
ValueCountFrequency (%)
0 5
11.4%
1 2
 
4.5%
2 2
 
4.5%
3 2
 
4.5%
6 2
 
4.5%
15 1
 
2.3%
16 1
 
2.3%
17 1
 
2.3%
21 1
 
2.3%
24 1
 
2.3%
ValueCountFrequency (%)
5080 1
2.3%
1885 1
2.3%
1531 1
2.3%
1276 1
2.3%
932 1
2.3%
690 1
2.3%
645 1
2.3%
585 1
2.3%
535 1
2.3%
520 1
2.3%

독산4동 확진자
Real number (ℝ)

ZEROS 

Distinct35
Distinct (%)79.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean216.31818
Minimum0
Maximum2968
Zeros7
Zeros (%)15.9%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-04-18T09:47:19.817828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.75
median56
Q3216.25
95-th percentile858.6
Maximum2968
Range2968
Interquartile range (IQR)212.5

Descriptive statistics

Standard deviation487.1865
Coefficient of variation (CV)2.2521755
Kurtosis24.414462
Mean216.31818
Median Absolute Deviation (MAD)56
Skewness4.5770275
Sum9518
Variance237350.69
MonotonicityNot monotonic
2024-04-18T09:47:19.919543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 7
 
15.9%
1 3
 
6.8%
4 2
 
4.5%
274 1
 
2.3%
217 1
 
2.3%
120 1
 
2.3%
195 1
 
2.3%
99 1
 
2.3%
73 1
 
2.3%
170 1
 
2.3%
Other values (25) 25
56.8%
ValueCountFrequency (%)
0 7
15.9%
1 3
6.8%
3 1
 
2.3%
4 2
 
4.5%
7 1
 
2.3%
8 1
 
2.3%
9 1
 
2.3%
10 1
 
2.3%
18 1
 
2.3%
30 1
 
2.3%
ValueCountFrequency (%)
2968 1
2.3%
1094 1
2.3%
894 1
2.3%
658 1
2.3%
436 1
2.3%
425 1
2.3%
369 1
2.3%
368 1
2.3%
274 1
2.3%
259 1
2.3%

시흥1동 확진자
Real number (ℝ)

ZEROS 

Distinct36
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean491.11364
Minimum0
Maximum6808
Zeros5
Zeros (%)11.4%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-04-18T09:47:20.031054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median89.5
Q3497.5
95-th percentile1919.15
Maximum6808
Range6808
Interquartile range (IQR)493.5

Descriptive statistics

Standard deviation1107.1962
Coefficient of variation (CV)2.2544604
Kurtosis25.363995
Mean491.11364
Median Absolute Deviation (MAD)89.5
Skewness4.6442169
Sum21609
Variance1225883.5
MonotonicityNot monotonic
2024-04-18T09:47:20.137938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 5
 
11.4%
3 3
 
6.8%
1 2
 
4.5%
4 2
 
4.5%
720 1
 
2.3%
718 1
 
2.3%
1949 1
 
2.3%
906 1
 
2.3%
470 1
 
2.3%
950 1
 
2.3%
Other values (26) 26
59.1%
ValueCountFrequency (%)
0 5
11.4%
1 2
 
4.5%
3 3
6.8%
4 2
 
4.5%
6 1
 
2.3%
10 1
 
2.3%
11 1
 
2.3%
22 1
 
2.3%
24 1
 
2.3%
32 1
 
2.3%
ValueCountFrequency (%)
6808 1
2.3%
2042 1
2.3%
1949 1
2.3%
1750 1
2.3%
1048 1
2.3%
950 1
2.3%
922 1
2.3%
906 1
2.3%
720 1
2.3%
718 1
2.3%

시흥2동 확진자
Real number (ℝ)

ZEROS 

Distinct36
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean308.02273
Minimum0
Maximum4339
Zeros6
Zeros (%)13.6%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-04-18T09:47:20.246142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.75
median47.5
Q3294.5
95-th percentile1205.55
Maximum4339
Range4339
Interquartile range (IQR)291.75

Descriptive statistics

Standard deviation712.36819
Coefficient of variation (CV)2.3127131
Kurtosis24.531682
Mean308.02273
Median Absolute Deviation (MAD)47.5
Skewness4.5735548
Sum13553
Variance507468.44
MonotonicityNot monotonic
2024-04-18T09:47:20.349051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 6
 
13.6%
1 4
 
9.1%
394 1
 
2.3%
667 1
 
2.3%
292 1
 
2.3%
50 1
 
2.3%
464 1
 
2.3%
1227 1
 
2.3%
535 1
 
2.3%
293 1
 
2.3%
Other values (26) 26
59.1%
ValueCountFrequency (%)
0 6
13.6%
1 4
9.1%
2 1
 
2.3%
3 1
 
2.3%
4 1
 
2.3%
5 1
 
2.3%
7 1
 
2.3%
8 1
 
2.3%
10 1
 
2.3%
11 1
 
2.3%
ValueCountFrequency (%)
4339 1
2.3%
1485 1
2.3%
1227 1
2.3%
1084 1
2.3%
767 1
2.3%
667 1
2.3%
535 1
2.3%
464 1
2.3%
394 1
2.3%
376 1
2.3%

시흥3동 확진자
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)65.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean146.20455
Minimum0
Maximum2013
Zeros10
Zeros (%)22.7%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-04-18T09:47:20.446470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median22.5
Q3163.75
95-th percentile584.05
Maximum2013
Range2013
Interquartile range (IQR)162.75

Descriptive statistics

Standard deviation333.8409
Coefficient of variation (CV)2.2833825
Kurtosis23.424216
Mean146.20455
Median Absolute Deviation (MAD)22.5
Skewness4.4771704
Sum6433
Variance111449.75
MonotonicityNot monotonic
2024-04-18T09:47:20.549305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 10
22.7%
3 3
 
6.8%
18 2
 
4.5%
1 2
 
4.5%
40 2
 
4.5%
2 2
 
4.5%
204 1
 
2.3%
203 1
 
2.3%
94 1
 
2.3%
163 1
 
2.3%
Other values (19) 19
43.2%
ValueCountFrequency (%)
0 10
22.7%
1 2
 
4.5%
2 2
 
4.5%
3 3
 
6.8%
6 1
 
2.3%
7 1
 
2.3%
14 1
 
2.3%
18 2
 
4.5%
27 1
 
2.3%
40 2
 
4.5%
ValueCountFrequency (%)
2013 1
2.3%
783 1
2.3%
601 1
2.3%
488 1
2.3%
344 1
2.3%
247 1
2.3%
228 1
2.3%
204 1
2.3%
203 1
2.3%
186 1
2.3%

시흥4동 확진자
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean274.81818
Minimum0
Maximum3831
Zeros8
Zeros (%)18.2%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-04-18T09:47:20.654291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median62
Q3275.5
95-th percentile1070.55
Maximum3831
Range3831
Interquartile range (IQR)273.5

Descriptive statistics

Standard deviation624.58396
Coefficient of variation (CV)2.272717
Kurtosis25.181039
Mean274.81818
Median Absolute Deviation (MAD)62
Skewness4.637615
Sum12092
Variance390105.13
MonotonicityNot monotonic
2024-04-18T09:47:20.765018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 8
 
18.2%
2 4
 
9.1%
4 2
 
4.5%
6 2
 
4.5%
97 1
 
2.3%
556 1
 
2.3%
264 1
 
2.3%
521 1
 
2.3%
630 1
 
2.3%
340 1
 
2.3%
Other values (22) 22
50.0%
ValueCountFrequency (%)
0 8
18.2%
2 4
9.1%
4 2
 
4.5%
6 2
 
4.5%
7 1
 
2.3%
18 1
 
2.3%
30 1
 
2.3%
32 1
 
2.3%
41 1
 
2.3%
53 1
 
2.3%
ValueCountFrequency (%)
3831 1
2.3%
1259 1
2.3%
1098 1
2.3%
915 1
2.3%
630 1
2.3%
556 1
2.3%
521 1
2.3%
399 1
2.3%
393 1
2.3%
340 1
2.3%

시흥5동 확진자
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)77.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean255.11364
Minimum0
Maximum3653
Zeros8
Zeros (%)18.2%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-04-18T09:47:20.874892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median45
Q3267.75
95-th percentile1013.1
Maximum3653
Range3653
Interquartile range (IQR)266.75

Descriptive statistics

Standard deviation589.22149
Coefficient of variation (CV)2.3096433
Kurtosis26.588181
Mean255.11364
Median Absolute Deviation (MAD)45
Skewness4.7837538
Sum11225
Variance347181.96
MonotonicityNot monotonic
2024-04-18T09:47:20.987957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 8
 
18.2%
1 4
 
9.1%
437 1
 
2.3%
279 1
 
2.3%
193 1
 
2.3%
264 1
 
2.3%
117 1
 
2.3%
83 1
 
2.3%
94 1
 
2.3%
206 1
 
2.3%
Other values (24) 24
54.5%
ValueCountFrequency (%)
0 8
18.2%
1 4
9.1%
3 1
 
2.3%
4 1
 
2.3%
7 1
 
2.3%
9 1
 
2.3%
17 1
 
2.3%
18 1
 
2.3%
20 1
 
2.3%
23 1
 
2.3%
ValueCountFrequency (%)
3653 1
2.3%
1079 1
2.3%
1041 1
2.3%
855 1
2.3%
512 1
2.3%
462 1
2.3%
447 1
2.3%
437 1
2.3%
378 1
2.3%
294 1
2.3%

기타 확진자
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)38.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.25
Minimum0
Maximum1330
Zeros27
Zeros (%)61.4%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-04-18T09:47:21.083997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q313.5
95-th percentile142.4
Maximum1330
Range1330
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation202.89522
Coefficient of variation (CV)4.1196999
Kurtosis39.261161
Mean49.25
Median Absolute Deviation (MAD)0
Skewness6.1415067
Sum2167
Variance41166.471
MonotonicityNot monotonic
2024-04-18T09:47:21.176526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 27
61.4%
1 2
 
4.5%
24 1
 
2.3%
77 1
 
2.3%
71 1
 
2.3%
28 1
 
2.3%
40 1
 
2.3%
243 1
 
2.3%
88 1
 
2.3%
4 1
 
2.3%
Other values (7) 7
 
15.9%
ValueCountFrequency (%)
0 27
61.4%
1 2
 
4.5%
4 1
 
2.3%
7 1
 
2.3%
8 1
 
2.3%
10 1
 
2.3%
24 1
 
2.3%
26 1
 
2.3%
28 1
 
2.3%
40 1
 
2.3%
ValueCountFrequency (%)
1330 1
2.3%
243 1
2.3%
152 1
2.3%
88 1
2.3%
77 1
2.3%
71 1
2.3%
57 1
2.3%
40 1
2.3%
28 1
2.3%
26 1
2.3%

가산동 사망자
Categorical

IMBALANCE 

Distinct3
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size484.0 B
0
37 
1
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 37
84.1%
1 5
 
11.4%
2 2
 
4.5%

Length

2024-04-18T09:47:21.284430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:47:21.367989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 37
84.1%
1 5
 
11.4%
2 2
 
4.5%
Distinct5
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size484.0 B
0
30 
1
10 
2
 
2
4
 
1
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
68.2%
1 10
 
22.7%
2 2
 
4.5%
4 1
 
2.3%
3 1
 
2.3%

Length

2024-04-18T09:47:21.454214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:47:21.542619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
68.2%
1 10
 
22.7%
2 2
 
4.5%
4 1
 
2.3%
3 1
 
2.3%

독산2동 사망자
Categorical

IMBALANCE 

Distinct4
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size484.0 B
0
38 
1
 
3
2
 
2
<NA>
 
1

Length

Max length4
Median length1
Mean length1.0681818
Min length1

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 38
86.4%
1 3
 
6.8%
2 2
 
4.5%
<NA> 1
 
2.3%

Length

2024-04-18T09:47:21.640587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:47:21.736622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 38
86.4%
1 3
 
6.8%
2 2
 
4.5%
na 1
 
2.3%
Distinct4
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size484.0 B
0
35 
2
3
 
3
1
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 35
79.5%
2 4
 
9.1%
3 3
 
6.8%
1 2
 
4.5%

Length

2024-04-18T09:47:21.840436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:47:21.933816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
79.5%
2 4
 
9.1%
3 3
 
6.8%
1 2
 
4.5%
Distinct3
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size484.0 B
0
35 
1
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 35
79.5%
1 8
 
18.2%
2 1
 
2.3%

Length

2024-04-18T09:47:22.022434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:47:22.110377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
79.5%
1 8
 
18.2%
2 1
 
2.3%
Distinct5
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size484.0 B
0
30 
1
2
5
 
1
6
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
68.2%
1 8
 
18.2%
2 4
 
9.1%
5 1
 
2.3%
6 1
 
2.3%

Length

2024-04-18T09:47:22.209325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:47:22.299351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
68.2%
1 8
 
18.2%
2 4
 
9.1%
5 1
 
2.3%
6 1
 
2.3%
Distinct4
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size484.0 B
0
34 
1
2
 
2
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 34
77.3%
1 7
 
15.9%
2 2
 
4.5%
3 1
 
2.3%

Length

2024-04-18T09:47:22.415462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:47:22.521521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 34
77.3%
1 7
 
15.9%
2 2
 
4.5%
3 1
 
2.3%

시흥3동 사망자
Categorical

IMBALANCE 

Distinct3
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size484.0 B
0
41 
1
 
2
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 41
93.2%
1 2
 
4.5%
2 1
 
2.3%

Length

2024-04-18T09:47:22.649090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:47:22.756744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 41
93.2%
1 2
 
4.5%
2 1
 
2.3%
Distinct3
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size484.0 B
0
34 
1
3
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 34
77.3%
1 8
 
18.2%
3 2
 
4.5%

Length

2024-04-18T09:47:22.859603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:47:22.968913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 34
77.3%
1 8
 
18.2%
3 2
 
4.5%

시흥5동 사망자
Categorical

IMBALANCE 

Distinct5
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size484.0 B
0
35 
1
2
 
1
3
 
1
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique3 ?
Unique (%)6.8%

Sample

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

Common Values

ValueCountFrequency (%)
0 35
79.5%
1 6
 
13.6%
2 1
 
2.3%
3 1
 
2.3%
5 1
 
2.3%

Length

2024-04-18T09:47:23.074757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:47:23.174034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
79.5%
1 6
 
13.6%
2 1
 
2.3%
3 1
 
2.3%
5 1
 
2.3%

데이터 기준 일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-02-27
44 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-02-27
2nd row2024-02-27
3rd row2024-02-27
4th row2024-02-27
5th row2024-02-27

Common Values

ValueCountFrequency (%)
2024-02-27 44
100.0%

Length

2024-04-18T09:47:23.289040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:47:23.384758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-02-27 44
100.0%

Sample

연월총 확진자 수총 사망자 수가산동 확진자독산1동 확진자독산2동 확진자독산3동 확진자독산4동 확진자시흥1동 확진자시흥2동 확진자시흥3동 확진자시흥4동 확진자시흥5동 확진자기타 확진자가산동 사망자독산1동 사망자독산2동 사망자독산3동 사망자독산4동 사망자시흥1동 사망자시흥2동 사망자시흥3동 사망자시흥4동 사망자시흥5동 사망자데이터 기준 일자
02020-01-01000000000000000000000002024-02-27
12020-02-01100100000000000000000002024-02-27
22020-03-011100301430000000000000002024-02-27
32020-04-01000000000000000000000002024-02-27
42020-05-01300000111000000000000002024-02-27
52020-06-011701612430000000000000002024-02-27
62020-07-01700502000000000000000002024-02-27
72020-08-0134051233341021000000000002024-02-27
82020-09-012013113143121001000000002024-02-27
92020-10-01511010001101000001000002024-02-27
연월총 확진자 수총 사망자 수가산동 확진자독산1동 확진자독산2동 확진자독산3동 확진자독산4동 확진자시흥1동 확진자시흥2동 확진자시흥3동 확진자시흥4동 확진자시흥5동 확진자기타 확진자가산동 사망자독산1동 사망자독산2동 사망자독산3동 사망자독산4동 사망자시흥1동 사망자시흥2동 사망자시흥3동 사망자시흥4동 사망자시흥5동 사망자데이터 기준 일자
342022-11-016403771613244666453689506672285214477101010130012024-02-27
352022-12-01785331022153356393242510487673446305127710010000102024-02-27
362023-01-01445545958512955352597203761663402942400021000012024-02-27
372023-02-01134421853069214710017585639794000000020002024-02-27
382023-03-0111291141213821217317498707483010000000002024-02-27
392023-04-01169702273291291989924215768131117000000000002024-02-27
402023-05-0129651369543190371195434254149196264001000000002024-02-27
412023-06-012270329043217726712031619894183193010001010002024-02-27
422023-07-0141861575875383464217580299204310279000000000012024-02-27
432023-08-01523376141027378585274922394203399437001020100302024-02-27