Overview

Dataset statistics

Number of variables43
Number of observations36
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.7 KiB
Average record size in memory389.7 B

Variable types

Numeric2
Text1
Categorical40

Dataset

Description서울특별시 용산구 코로나19 사망자 현황(동별, 월별(2020년 1월 ~ 2023년 5월))에 대한 데이터를 제공합니다
URLhttps://www.data.go.kr/data/15099417/fileData.do

Alerts

2020-01-01 has constant value ""Constant
2020-02-01 has constant value ""Constant
2020-03-01 has constant value ""Constant
2020-04-01 has constant value ""Constant
2020-05-01 has constant value ""Constant
2020-06-01 has constant value ""Constant
2020-07-01 has constant value ""Constant
2020-08-01 has constant value ""Constant
2020-10-01 has constant value ""Constant
2020-11-01 has constant value ""Constant
2021-03-01 has constant value ""Constant
2022-07-01 has constant value ""Constant
2022-10-01 has constant value ""Constant
2023-02-01 has constant value ""Constant
2023-03-01 has constant value ""Constant
2020-09-01 is highly imbalanced (81.7%)Imbalance
2020-12-01 is highly imbalanced (69.0%)Imbalance
2021-01-01 is highly imbalanced (69.0%)Imbalance
2021-02-01 is highly imbalanced (69.0%)Imbalance
2021-04-01 is highly imbalanced (81.7%)Imbalance
2021-05-01 is highly imbalanced (81.7%)Imbalance
2021-06-01 is highly imbalanced (81.7%)Imbalance
2021-07-01 is highly imbalanced (81.7%)Imbalance
2021-08-01 is highly imbalanced (69.0%)Imbalance
2021-09-01 is highly imbalanced (81.7%)Imbalance
2021-10-01 is highly imbalanced (69.1%)Imbalance
2021-11-01 is highly imbalanced (69.0%)Imbalance
2022-05-01 is highly imbalanced (69.1%)Imbalance
2022-06-01 is highly imbalanced (81.7%)Imbalance
2022-08-01 is highly imbalanced (62.6%)Imbalance
2022-09-01 is highly imbalanced (69.0%)Imbalance
2023-01-01 is highly imbalanced (57.0%)Imbalance
2023-04-01 is highly imbalanced (81.7%)Imbalance
2023-05-01 is highly imbalanced (69.0%)Imbalance
연번 has unique valuesUnique
법정동 has unique valuesUnique
2022-03-01 has 20 (55.6%) zerosZeros

Reproduction

Analysis started2023-12-12 02:16:43.198794
Analysis finished2023-12-12 02:16:43.922905
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.5
Minimum1
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-12T11:16:43.983757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.75
Q19.75
median18.5
Q327.25
95-th percentile34.25
Maximum36
Range35
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation10.535654
Coefficient of variation (CV)0.5694948
Kurtosis-1.2
Mean18.5
Median Absolute Deviation (MAD)9
Skewness0
Sum666
Variance111
MonotonicityStrictly increasing
2023-12-12T11:16:44.117570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
1 1
 
2.8%
20 1
 
2.8%
22 1
 
2.8%
23 1
 
2.8%
24 1
 
2.8%
25 1
 
2.8%
26 1
 
2.8%
27 1
 
2.8%
28 1
 
2.8%
29 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
1 1
2.8%
2 1
2.8%
3 1
2.8%
4 1
2.8%
5 1
2.8%
6 1
2.8%
7 1
2.8%
8 1
2.8%
9 1
2.8%
10 1
2.8%
ValueCountFrequency (%)
36 1
2.8%
35 1
2.8%
34 1
2.8%
33 1
2.8%
32 1
2.8%
31 1
2.8%
30 1
2.8%
29 1
2.8%
28 1
2.8%
27 1
2.8%

법정동
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-12T11:16:44.339509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.9722222
Min length3

Characters and Unicode

Total characters143
Distinct characters41
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)100.0%

Sample

1st row후암동
2nd row용산동1가
3rd row용산동2가
4th row용산동3가
5th row용산동4가
ValueCountFrequency (%)
후암동 1
 
2.8%
용산동1가 1
 
2.8%
한강로1가 1
 
2.8%
신창동 1
 
2.8%
산천동 1
 
2.8%
청암동 1
 
2.8%
효창동 1
 
2.8%
용문동 1
 
2.8%
도원동 1
 
2.8%
한강로2가 1
 
2.8%
Other values (26) 26
72.2%
2023-12-12T11:16:44.720931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 31
21.7%
가 16
 
11.2%
용 7
 
4.9%
산 7
 
4.9%
로 7
 
4.9%
원 6
 
4.2%
효 5
 
3.5%
3 4
 
2.8%
한 4
 
2.8%
청 4
 
2.8%
Other values (31) 52
36.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 127
88.8%
Decimal Number 16
 
11.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 31
24.4%
가 16
12.6%
용 7
 
5.5%
산 7
 
5.5%
로 7
 
5.5%
원 6
 
4.7%
효 5
 
3.9%
한 4
 
3.1%
청 4
 
3.1%
파 3
 
2.4%
Other values (25) 37
29.1%
Decimal Number
ValueCountFrequency (%)
3 4
25.0%
2 4
25.0%
1 4
25.0%
4 2
12.5%
6 1
 
6.2%
5 1
 
6.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 127
88.8%
Common 16
 
11.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 31
24.4%
가 16
12.6%
용 7
 
5.5%
산 7
 
5.5%
로 7
 
5.5%
원 6
 
4.7%
효 5
 
3.9%
한 4
 
3.1%
청 4
 
3.1%
파 3
 
2.4%
Other values (25) 37
29.1%
Common
ValueCountFrequency (%)
3 4
25.0%
2 4
25.0%
1 4
25.0%
4 2
12.5%
6 1
 
6.2%
5 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 127
88.8%
ASCII 16
 
11.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 31
24.4%
가 16
12.6%
용 7
 
5.5%
산 7
 
5.5%
로 7
 
5.5%
원 6
 
4.7%
효 5
 
3.9%
한 4
 
3.1%
청 4
 
3.1%
파 3
 
2.4%
Other values (25) 37
29.1%
ASCII
ValueCountFrequency (%)
3 4
25.0%
2 4
25.0%
1 4
25.0%
4 2
12.5%
6 1
 
6.2%
5 1
 
6.2%

2020-01-01
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
36 

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 36
100.0%

Length

2023-12-12T11:16:44.854771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:16:44.943859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 36
100.0%

2020-02-01
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
36 

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 36
100.0%

Length

2023-12-12T11:16:45.046491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:16:45.153194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 36
100.0%

2020-03-01
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
36 

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 36
100.0%

Length

2023-12-12T11:16:45.254419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:16:45.350499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 36
100.0%

2020-04-01
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
36 

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 36
100.0%

Length

2023-12-12T11:16:45.451322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:16:45.564865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 36
100.0%

2020-05-01
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
36 

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 36
100.0%

Length

2023-12-12T11:16:45.666891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:16:45.761600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 36
100.0%

2020-06-01
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
36 

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 36
100.0%

Length

2023-12-12T11:16:45.859846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:16:45.949781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 36
100.0%

2020-07-01
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
36 

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 36
100.0%

Length

2023-12-12T11:16:46.043529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:16:46.144680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 36
100.0%

2020-08-01
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
36 

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 36
100.0%

Length

2023-12-12T11:16:46.253232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:16:46.359660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 36
100.0%

2020-09-01
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
35 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
0 35
97.2%
1 1
 
2.8%

Length

2023-12-12T11:16:46.468505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:16:46.571244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
97.2%
1 1
 
2.8%

2020-10-01
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
36 

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 36
100.0%

Length

2023-12-12T11:16:46.678806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:16:46.794338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 36
100.0%

2020-11-01
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
36 

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 36
100.0%

Length

2023-12-12T11:16:46.918500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:16:47.022038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 36
100.0%

2020-12-01
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
34 
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 34
94.4%
1 2
 
5.6%

Length

2023-12-12T11:16:47.129994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:16:47.244624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 34
94.4%
1 2
 
5.6%

2021-01-01
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
34 
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 34
94.4%
1 2
 
5.6%

Length

2023-12-12T11:16:47.367892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:16:47.472552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 34
94.4%
1 2
 
5.6%

2021-02-01
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
34 
1
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 34
94.4%
1 2
 
5.6%

Length

2023-12-12T11:16:47.580425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:16:47.707604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 34
94.4%
1 2
 
5.6%

2021-03-01
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
36 

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 36
100.0%

Length

2023-12-12T11:16:47.824545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:16:47.950946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 36
100.0%

2021-04-01
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
35 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
0 35
97.2%
1 1
 
2.8%

Length

2023-12-12T11:16:48.062388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:16:48.172710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
97.2%
1 1
 
2.8%

2021-05-01
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
35 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 35
97.2%
1 1
 
2.8%

Length

2023-12-12T11:16:48.289802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:16:48.389737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
97.2%
1 1
 
2.8%

2021-06-01
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
35 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
0 35
97.2%
1 1
 
2.8%

Length

2023-12-12T11:16:48.508854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:16:48.612481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
97.2%
1 1
 
2.8%

2021-07-01
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
35 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
0 35
97.2%
1 1
 
2.8%

Length

2023-12-12T11:16:48.745663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:16:48.869673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
97.2%
1 1
 
2.8%

2021-08-01
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
34 
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 34
94.4%
1 2
 
5.6%

Length

2023-12-12T11:16:48.985396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:16:49.087664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 34
94.4%
1 2
 
5.6%

2021-09-01
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
35 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
0 35
97.2%
1 1
 
2.8%

Length

2023-12-12T11:16:49.196380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:16:49.302055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
97.2%
1 1
 
2.8%

2021-10-01
Categorical

IMBALANCE 

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
33 
1
 
2
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
0 33
91.7%
1 2
 
5.6%
2 1
 
2.8%

Length

2023-12-12T11:16:49.422150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:16:49.534106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 33
91.7%
1 2
 
5.6%
2 1
 
2.8%

2021-11-01
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
34 
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 34
94.4%
1 2
 
5.6%

Length

2023-12-12T11:16:49.640116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:16:49.740759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 34
94.4%
1 2
 
5.6%

2021-12-01
Categorical

Distinct5
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
22 
1
7 
2
5 
3
 
1
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)5.6%

Sample

1st row2
2nd row0
3rd row2
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 22
61.1%
1 7
 
19.4%
2 5
 
13.9%
3 1
 
2.8%
5 1
 
2.8%

Length

2023-12-12T11:16:49.922470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:16:50.069611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
61.1%
1 7
 
19.4%
2 5
 
13.9%
3 1
 
2.8%
5 1
 
2.8%

2022-01-01
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
29 
1
7 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29
80.6%
1 7
 
19.4%

Length

2023-12-12T11:16:50.240201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:16:50.354728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
80.6%
1 7
 
19.4%

2022-02-01
Categorical

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
27 
1
7 
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 27
75.0%
1 7
 
19.4%
2 2
 
5.6%

Length

2023-12-12T11:16:50.466078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:16:50.578064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 27
75.0%
1 7
 
19.4%
2 2
 
5.6%

2022-03-01
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.88888889
Minimum0
Maximum6
Zeros20
Zeros (%)55.6%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-12T11:16:50.672124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.4097168
Coefficient of variation (CV)1.5859315
Kurtosis4.5119725
Mean0.88888889
Median Absolute Deviation (MAD)0
Skewness2.0866264
Sum32
Variance1.9873016
MonotonicityNot monotonic
2023-12-12T11:16:50.823499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 20
55.6%
1 9
25.0%
2 3
 
8.3%
4 2
 
5.6%
3 1
 
2.8%
6 1
 
2.8%
ValueCountFrequency (%)
0 20
55.6%
1 9
25.0%
2 3
 
8.3%
3 1
 
2.8%
4 2
 
5.6%
6 1
 
2.8%
ValueCountFrequency (%)
6 1
 
2.8%
4 2
 
5.6%
3 1
 
2.8%
2 3
 
8.3%
1 9
25.0%
0 20
55.6%

2022-04-01
Categorical

Distinct5
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
26 
1
6 
2
 
2
6
 
1
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)5.6%

Sample

1st row2
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 26
72.2%
1 6
 
16.7%
2 2
 
5.6%
6 1
 
2.8%
5 1
 
2.8%

Length

2023-12-12T11:16:50.977724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:16:51.105412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 26
72.2%
1 6
 
16.7%
2 2
 
5.6%
6 1
 
2.8%
5 1
 
2.8%

2022-05-01
Categorical

IMBALANCE 

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
33 
1
 
2
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 33
91.7%
1 2
 
5.6%
2 1
 
2.8%

Length

2023-12-12T11:16:51.225323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:16:51.357120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 33
91.7%
1 2
 
5.6%
2 1
 
2.8%

2022-06-01
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
35 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 35
97.2%
1 1
 
2.8%

Length

2023-12-12T11:16:51.482296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:16:51.614611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
97.2%
1 1
 
2.8%

2022-07-01
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
36 

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 36
100.0%

Length

2023-12-12T11:16:52.064631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:16:52.171147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 36
100.0%

2022-08-01
Categorical

IMBALANCE 

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
32 
2
 
3
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
0 32
88.9%
2 3
 
8.3%
1 1
 
2.8%

Length

2023-12-12T11:16:52.322914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:16:52.473264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 32
88.9%
2 3
 
8.3%
1 1
 
2.8%

2022-09-01
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
34 
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 34
94.4%
1 2
 
5.6%

Length

2023-12-12T11:16:52.612747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:16:52.722003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 34
94.4%
1 2
 
5.6%

2022-10-01
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
36 

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 36
100.0%

Length

2023-12-12T11:16:52.864495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:16:52.974967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 36
100.0%

2022-11-01
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
32 
1
4 

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 32
88.9%
1 4
 
11.1%

Length

2023-12-12T11:16:53.095609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:16:53.233029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 32
88.9%
1 4
 
11.1%

2022-12-01
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
30 
1
6 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 30
83.3%
1 6
 
16.7%

Length

2023-12-12T11:16:53.392926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:16:53.536376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
83.3%
1 6
 
16.7%

2023-01-01
Categorical

IMBALANCE 

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
31 
1
4 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 31
86.1%
1 4
 
11.1%
2 1
 
2.8%

Length

2023-12-12T11:16:53.719675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:16:53.830373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 31
86.1%
1 4
 
11.1%
2 1
 
2.8%

2023-02-01
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
36 

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 36
100.0%

Length

2023-12-12T11:16:53.965177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:16:54.092379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 36
100.0%

2023-03-01
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
36 

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 36
100.0%

Length

2023-12-12T11:16:54.219553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:16:54.341642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 36
100.0%

2023-04-01
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
35 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
0 35
97.2%
2 1
 
2.8%

Length

2023-12-12T11:16:54.463392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:16:54.587522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
97.2%
2 1
 
2.8%

2023-05-01
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
34 
1
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 34
94.4%
1 2
 
5.6%

Length

2023-12-12T11:16:54.714112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:16:54.833083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 34
94.4%
1 2
 
5.6%

Sample

연번법정동2020-01-012020-02-012020-03-012020-04-012020-05-012020-06-012020-07-012020-08-012020-09-012020-10-012020-11-012020-12-012021-01-012021-02-012021-03-012021-04-012021-05-012021-06-012021-07-012021-08-012021-09-012021-10-012021-11-012021-12-012022-01-012022-02-012022-03-012022-04-012022-05-012022-06-012022-07-012022-08-012022-09-012022-10-012022-11-012022-12-012023-01-012023-02-012023-03-012023-04-012023-05-01
01후암동00000000000001001000000200220100000000001
12용산동1가00000000000000000000000000000000000000000
23용산동2가00000000000000000000000211001000000110000
34용산동3가00000000000000000000000000000000000000000
45용산동4가00000000000000000000000000000000000000000
56용산동5가00000000000000000000000100000000000000000
67용산동6가00000000000000000000000000000000000000000
78갈월동00000000000000000000000000200000000100000
89남영동00000000000000000000000110100001000000000
910동자동00000000000000000000001300310000000000000
연번법정동2020-01-012020-02-012020-03-012020-04-012020-05-012020-06-012020-07-012020-08-012020-09-012020-10-012020-11-012020-12-012021-01-012021-02-012021-03-012021-04-012021-05-012021-06-012021-07-012021-08-012021-09-012021-10-012021-11-012021-12-012022-01-012022-02-012022-03-012022-04-012022-05-012022-06-012022-07-012022-08-012022-09-012022-10-012022-11-012022-12-012023-01-012023-02-012023-03-012023-04-012023-05-01
2627한강로1가00000000000000000000000000000000000000000
2728한강로2가00000000000000000000000200000000000000000
2829한강로3가00000000000000000010000001000000000000000
2930이촌동00000000000100000100001501460002001010020
3031이태원동00000000000010010000000202451002001100000
3132한남동00000000000000000000000011602000000100000
3233서빙고동00000000000000000000110100110002001000000
3334동빙고동00000000000000000001000000110000000000000
3435주성동00000000000000000000000010000000000000000
3536보광동00000000100000000000000100110000000120000