Overview

Dataset statistics

Number of variables24
Number of observations51
Missing cells46
Missing cells (%)3.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.0 KiB
Average record size in memory201.6 B

Variable types

Numeric2
Categorical9
Text2
DateTime11

Dataset

Description과거 호우로 인해 침수된 지역을 기준으로 2020년 2021년 2022년 광명시 침수흔적도 작성 내역의 데이터를 제공합니다
URLhttps://www.data.go.kr/data/15114514/fileData.do

Alerts

시도 has constant value ""Constant
시군구 has constant value ""Constant
작성기관 has constant value ""Constant
침수흔적도 보고서 제출여부 has constant value ""Constant
데이터기준일 has constant value ""Constant
재해명 is highly imbalanced (53.9%)Imbalance
침수심(미터) is highly imbalanced (76.1%)Imbalance
전문가(수자원 방재 해일 등) 공동수행 여부 is highly imbalanced (76.1%)Imbalance
초동조사결과 제출일(시군구에서 시도) has 2 (3.9%) missing valuesMissing
침수흔적도 작성대상 결정일(시도에서 행안부) has 42 (82.4%) missing valuesMissing
침수흔적도 작성의뢰일(시군구에서 LX) has 2 (3.9%) missing valuesMissing
연번 has unique valuesUnique
침수지역 위치 has unique valuesUnique
침수면적(제곱미터) has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:41:39.269425
Analysis finished2023-12-12 17:41:39.595710
Duration0.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26
Minimum1
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-13T02:41:39.662097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.5
Q113.5
median26
Q338.5
95-th percentile48.5
Maximum51
Range50
Interquartile range (IQR)25

Descriptive statistics

Standard deviation14.866069
Coefficient of variation (CV)0.57177187
Kurtosis-1.2
Mean26
Median Absolute Deviation (MAD)13
Skewness0
Sum1326
Variance221
MonotonicityStrictly increasing
2023-12-13T02:41:39.795221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
2.0%
2 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
36 1
 
2.0%
Other values (41) 41
80.4%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
51 1
2.0%
50 1
2.0%
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
경기도
51 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 51
100.0%

Length

2023-12-13T02:41:39.926100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:41:40.014969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 51
100.0%

시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
광명시
51 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
광명시 51
100.0%

Length

2023-12-13T02:41:40.109985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:41:40.198187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광명시 51
100.0%

기준년도
Categorical

Distinct3
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
2022
40 
2020
9 
2021
 
2

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020
2nd row2020
3rd row2020
4th row2020
5th row2020

Common Values

ValueCountFrequency (%)
2022 40
78.4%
2020 9
 
17.6%
2021 2
 
3.9%

Length

2023-12-13T02:41:40.284912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:41:40.381298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 40
78.4%
2020 9
 
17.6%
2021 2
 
3.9%

지구명
Text

Distinct42
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-13T02:41:40.561859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length5.0980392
Min length5

Characters and Unicode

Total characters260
Distinct characters25
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 (%)70.6%

Sample

1st row광명1지구
2nd row소하1지구
3rd row학온1지구
4th row하안1지구
5th row학온2지구
ValueCountFrequency (%)
소하1지구 4
 
7.8%
광명1지구 3
 
5.9%
하안1지구 2
 
3.9%
광명2지구 2
 
3.9%
소하2지구 2
 
3.9%
소하3지구 2
 
3.9%
철산4지구 1
 
2.0%
철산5지구 1
 
2.0%
옥길1지구 1
 
2.0%
옥길2지구 1
 
2.0%
Other values (32) 32
62.7%
2023-12-13T02:41:40.887982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 51
19.6%
구 51
19.6%
하 24
9.2%
1 17
 
6.5%
광 15
 
5.8%
명 15
 
5.8%
소 14
 
5.4%
안 10
 
3.8%
2 10
 
3.8%
산 6
 
2.3%
Other values (15) 47
18.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 206
79.2%
Decimal Number 54
 
20.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 51
24.8%
구 51
24.8%
하 24
11.7%
광 15
 
7.3%
명 15
 
7.3%
소 14
 
6.8%
안 10
 
4.9%
산 6
 
2.9%
철 6
 
2.9%
온 4
 
1.9%
Other values (5) 10
 
4.9%
Decimal Number
ValueCountFrequency (%)
1 17
31.5%
2 10
18.5%
3 5
 
9.3%
5 4
 
7.4%
6 4
 
7.4%
4 4
 
7.4%
8 3
 
5.6%
9 3
 
5.6%
7 3
 
5.6%
0 1
 
1.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 206
79.2%
Common 54
 
20.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 51
24.8%
구 51
24.8%
하 24
11.7%
광 15
 
7.3%
명 15
 
7.3%
소 14
 
6.8%
안 10
 
4.9%
산 6
 
2.9%
철 6
 
2.9%
온 4
 
1.9%
Other values (5) 10
 
4.9%
Common
ValueCountFrequency (%)
1 17
31.5%
2 10
18.5%
3 5
 
9.3%
5 4
 
7.4%
6 4
 
7.4%
4 4
 
7.4%
8 3
 
5.6%
9 3
 
5.6%
7 3
 
5.6%
0 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 206
79.2%
ASCII 54
 
20.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 51
24.8%
구 51
24.8%
하 24
11.7%
광 15
 
7.3%
명 15
 
7.3%
소 14
 
6.8%
안 10
 
4.9%
산 6
 
2.9%
철 6
 
2.9%
온 4
 
1.9%
Other values (5) 10
 
4.9%
ASCII
ValueCountFrequency (%)
1 17
31.5%
2 10
18.5%
3 5
 
9.3%
5 4
 
7.4%
6 4
 
7.4%
4 4
 
7.4%
8 3
 
5.6%
9 3
 
5.6%
7 3
 
5.6%
0 1
 
1.9%

침수지역 위치
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-13T02:41:41.403169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length29
Mean length14.764706
Min length8

Characters and Unicode

Total characters753
Distinct characters50
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)100.0%

Sample

1st row경기도 광명시 광명동 5-96 현대빌라 B동 1호(외 3개소)
2nd row경기도 광명시 소하동 48-33 현대빌라 B동 102호(외 9개소)
3rd row경기도 광명시 가학동 480-1
4th row경기도 광명시 하안동 605-5
5th row경기도 광명시 옥길동 46-1
ValueCountFrequency (%)
일원 31
23.7%
경기도 9
 
6.9%
광명시 9
 
6.9%
소하동 4
 
3.1%
광명동 2
 
1.5%
충현로 2
 
1.5%
현대빌라 2
 
1.5%
b동 2
 
1.5%
3개소 2
 
1.5%
철산동188번지 1
 
0.8%
Other values (67) 67
51.1%
2023-12-13T02:41:41.820754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
84
 
11.2%
동 53
 
7.0%
1 44
 
5.8%
번 43
 
5.7%
지 42
 
5.6%
- 39
 
5.2%
3 34
 
4.5%
일 32
 
4.2%
원 31
 
4.1%
2 27
 
3.6%
Other values (40) 324
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 396
52.6%
Decimal Number 222
29.5%
Space Separator 84
 
11.2%
Dash Punctuation 39
 
5.2%
Close Punctuation 4
 
0.5%
Open Punctuation 4
 
0.5%
Uppercase Letter 4
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 53
13.4%
번 43
10.9%
지 42
10.6%
일 32
 
8.1%
원 31
 
7.8%
광 25
 
6.3%
명 25
 
6.3%
하 23
 
5.8%
소 15
 
3.8%
안 10
 
2.5%
Other values (24) 97
24.5%
Decimal Number
ValueCountFrequency (%)
1 44
19.8%
3 34
15.3%
2 27
12.2%
5 22
9.9%
8 21
9.5%
6 20
9.0%
0 17
 
7.7%
9 13
 
5.9%
7 13
 
5.9%
4 11
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
B 3
75.0%
D 1
 
25.0%
Space Separator
ValueCountFrequency (%)
84
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 396
52.6%
Common 353
46.9%
Latin 4
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 53
13.4%
번 43
10.9%
지 42
10.6%
일 32
 
8.1%
원 31
 
7.8%
광 25
 
6.3%
명 25
 
6.3%
하 23
 
5.8%
소 15
 
3.8%
안 10
 
2.5%
Other values (24) 97
24.5%
Common
ValueCountFrequency (%)
84
23.8%
1 44
12.5%
- 39
11.0%
3 34
9.6%
2 27
 
7.6%
5 22
 
6.2%
8 21
 
5.9%
6 20
 
5.7%
0 17
 
4.8%
9 13
 
3.7%
Other values (4) 32
 
9.1%
Latin
ValueCountFrequency (%)
B 3
75.0%
D 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 396
52.6%
ASCII 357
47.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
84
23.5%
1 44
12.3%
- 39
10.9%
3 34
9.5%
2 27
 
7.6%
5 22
 
6.2%
8 21
 
5.9%
6 20
 
5.6%
0 17
 
4.8%
9 13
 
3.6%
Other values (6) 36
10.1%
Hangul
ValueCountFrequency (%)
동 53
13.4%
번 43
10.9%
지 42
10.6%
일 32
 
8.1%
원 31
 
7.8%
광 25
 
6.3%
명 25
 
6.3%
하 23
 
5.8%
소 15
 
3.8%
안 10
 
2.5%
Other values (24) 97
24.5%

재해명
Categorical

IMBALANCE 

Distinct6
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Memory size540.0 B
8.8. ~ 17.호우
40 
2020년 7.28~8.11 호우
5 
2020년 8.14 호우
 
2
호우로 인한 침수
 
2
2020년 8.28~29 호우
 
1

Length

Max length19
Median length12
Mean length12.745098
Min length9

Unique

Unique2 ?
Unique (%)3.9%

Sample

1st row 2020년 7.28~8.11 호우
2nd row 2020년 7.28~8.11 호우
3rd row 2020년 7.28~8.11 호우
4th row 2020년 7.28~8.11 호우
5th row 2020년 7.28~8.11 호우

Common Values

ValueCountFrequency (%)
8.8. ~ 17.호우 40
78.4%
2020년 7.28~8.11 호우 5
 
9.8%
2020년 8.14 호우 2
 
3.9%
호우로 인한 침수 2
 
3.9%
2020년 8.28~29 호우 1
 
2.0%
2020년 11.19. 호우 1
 
2.0%

Length

2023-12-13T02:41:41.938022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:41:42.039195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
8.8 40
26.1%
40
26.1%
17.호우 40
26.1%
2020년 9
 
5.9%
호우 9
 
5.9%
7.28~8.11 5
 
3.3%
8.14 2
 
1.3%
호우로 2
 
1.3%
인한 2
 
1.3%
침수 2
 
1.3%
Other values (2) 2
 
1.3%

발생시작일
Date

Distinct6
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Memory size540.0 B
Minimum2020-07-28 00:00:00
Maximum2022-08-08 00:00:00
2023-12-13T02:41:42.138197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:41:42.248514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

발생종료일
Date

Distinct6
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Memory size540.0 B
Minimum2020-08-11 00:00:00
Maximum2022-08-10 00:00:00
2023-12-13T02:41:42.350860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:41:42.439824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

침수시작일
Date

Distinct6
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Memory size540.0 B
Minimum2020-08-01 00:00:00
Maximum2022-08-08 00:00:00
2023-12-13T02:41:42.534471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:41:42.646049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

침수종료일
Date

Distinct6
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Memory size540.0 B
Minimum2020-08-11 00:00:00
Maximum2022-08-10 00:00:00
2023-12-13T02:41:42.733682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:41:42.820398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

침수시간(시)
Categorical

Distinct3
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
38
40 
5
9 
4
 
2

Length

Max length2
Median length2
Mean length1.7843137
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5
2nd row5
3rd row5
4th row5
5th row5

Common Values

ValueCountFrequency (%)
38 40
78.4%
5 9
 
17.6%
4 2
 
3.9%

Length

2023-12-13T02:41:42.932864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:41:43.025630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
38 40
78.4%
5 9
 
17.6%
4 2
 
3.9%

침수심(미터)
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
0.3
49 
0.1
 
2

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0.3 49
96.1%
0.1 2
 
3.9%

Length

2023-12-13T02:41:43.131994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:41:43.215945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.3 49
96.1%
0.1 2
 
3.9%

침수면적(제곱미터)
Real number (ℝ)

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1304.2059
Minimum41.9
Maximum15476
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-13T02:41:43.328468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41.9
5-th percentile89.65
Q1229.8
median542.3
Q31396.3
95-th percentile4084.85
Maximum15476
Range15434.1
Interquartile range (IQR)1166.5

Descriptive statistics

Standard deviation2349.9031
Coefficient of variation (CV)1.8017884
Kurtosis27.044385
Mean1304.2059
Median Absolute Deviation (MAD)398.6
Skewness4.7427545
Sum66514.5
Variance5522044.4
MonotonicityNot monotonic
2023-12-13T02:41:43.463317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201.1 1
 
2.0%
214.0 1
 
2.0%
41.9 1
 
2.0%
1516.8 1
 
2.0%
143.7 1
 
2.0%
484.7 1
 
2.0%
221.6 1
 
2.0%
1832.7 1
 
2.0%
125.5 1
 
2.0%
272.4 1
 
2.0%
Other values (41) 41
80.4%
ValueCountFrequency (%)
41.9 1
2.0%
57.9 1
2.0%
63.3 1
2.0%
116.0 1
2.0%
125.5 1
2.0%
143.7 1
2.0%
146.7 1
2.0%
163.0 1
2.0%
199.5 1
2.0%
201.1 1
2.0%
ValueCountFrequency (%)
15476.0 1
2.0%
5624.0 1
2.0%
4411.8 1
2.0%
3757.9 1
2.0%
3407.9 1
2.0%
3104.3 1
2.0%
2320.8 1
2.0%
2080.9 1
2.0%
1832.7 1
2.0%
1767.9 1
2.0%

침수흔적 초동조사시작일
Date

Distinct6
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Memory size540.0 B
Minimum2020-07-28 00:00:00
Maximum2022-08-08 00:00:00
2023-12-13T02:41:43.577626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:41:43.668251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

침수흔적 초동조사종료일
Date

Distinct6
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Memory size540.0 B
Minimum2020-08-11 00:00:00
Maximum2022-08-17 00:00:00
2023-12-13T02:41:43.763560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:41:43.860859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

초동조사결과 제출일(시군구에서 시도)
Date

MISSING 

Distinct3
Distinct (%)6.1%
Missing2
Missing (%)3.9%
Memory size540.0 B
Minimum2020-09-21 00:00:00
Maximum2022-09-30 00:00:00
2023-12-13T02:41:43.968865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:41:44.054116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

침수흔적도 작성대상 결정일(시도에서 행안부)
Date

MISSING 

Distinct2
Distinct (%)22.2%
Missing42
Missing (%)82.4%
Memory size540.0 B
Minimum2020-10-30 00:00:00
Maximum2021-01-15 00:00:00
2023-12-13T02:41:44.143009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:41:44.241739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

침수흔적도 작성의뢰일(시군구에서 LX)
Date

MISSING 

Distinct4
Distinct (%)8.2%
Missing2
Missing (%)3.9%
Memory size540.0 B
Minimum2020-10-12 00:00:00
Maximum2023-02-02 00:00:00
2023-12-13T02:41:44.351442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:41:44.451402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

전문가(수자원 방재 해일 등) 공동수행 여부
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
0
49 
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 49
96.1%
1 2
 
3.9%

Length

2023-12-13T02:41:44.609052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:41:44.749701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 49
96.1%
1 2
 
3.9%

침수흔적도 작성완료일(행안부 시스템 등재일)
Date

Distinct3
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
Minimum2021-01-19 00:00:00
Maximum2023-02-15 00:00:00
2023-12-13T02:41:44.828049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:41:44.937306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

작성기관
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
LX 시흥광명지사
51 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowLX 시흥광명지사
2nd rowLX 시흥광명지사
3rd rowLX 시흥광명지사
4th rowLX 시흥광명지사
5th rowLX 시흥광명지사

Common Values

ValueCountFrequency (%)
LX 시흥광명지사 51
100.0%

Length

2023-12-13T02:41:45.075799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:41:45.171028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
lx 51
50.0%
시흥광명지사 51
50.0%

침수흔적도 보고서 제출여부
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
1
51 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 51
100.0%

Length

2023-12-13T02:41:45.271063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:41:45.406333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 51
100.0%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
Minimum2023-06-14 00:00:00
Maximum2023-06-14 00:00:00
2023-12-13T02:41:45.509423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:41:45.636798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

연번시도시군구기준년도지구명침수지역 위치재해명발생시작일발생종료일침수시작일침수종료일침수시간(시)침수심(미터)침수면적(제곱미터)침수흔적 초동조사시작일침수흔적 초동조사종료일초동조사결과 제출일(시군구에서 시도)침수흔적도 작성대상 결정일(시도에서 행안부)침수흔적도 작성의뢰일(시군구에서 LX)전문가(수자원 방재 해일 등) 공동수행 여부침수흔적도 작성완료일(행안부 시스템 등재일)작성기관침수흔적도 보고서 제출여부데이터기준일
01경기도광명시2020광명1지구경기도 광명시 광명동 5-96 현대빌라 B동 1호(외 3개소)2020년 7.28~8.11 호우2020-07-282020-08-112020-08-012020-08-1150.3201.12020-07-282020-08-112020-09-212020-10-302020-10-1202021-01-19LX 시흥광명지사12023-06-14
12경기도광명시2020소하1지구경기도 광명시 소하동 48-33 현대빌라 B동 102호(외 9개소)2020년 7.28~8.11 호우2020-07-282020-08-112020-08-012020-08-1150.3214.02020-07-282020-08-112020-09-212020-10-302020-11-0502021-01-19LX 시흥광명지사12023-06-14
23경기도광명시2020학온1지구경기도 광명시 가학동 480-12020년 7.28~8.11 호우2020-07-282020-08-112020-08-012020-08-1150.3238.02020-07-282020-08-112020-09-212020-10-302020-11-0502021-01-19LX 시흥광명지사12023-06-14
34경기도광명시2020하안1지구경기도 광명시 하안동 605-52020년 7.28~8.11 호우2020-07-282020-08-112020-08-012020-08-1150.3199.52020-07-282020-08-112020-09-212020-10-302020-11-0502021-01-19LX 시흥광명지사12023-06-14
45경기도광명시2020학온2지구경기도 광명시 옥길동 46-12020년 7.28~8.11 호우2020-07-282020-08-112020-08-012020-08-1150.3434.02020-07-282020-08-112020-09-212020-10-302020-11-0502021-01-19LX 시흥광명지사12023-06-14
56경기도광명시2020광명2지구경기도 광명시 광명동 60-32 지층 4호(외 3개소)2020년 8.14 호우2020-08-142020-08-142020-08-142020-08-1450.3146.72020-08-142020-08-142020-09-212020-10-302020-11-0502021-01-19LX 시흥광명지사12023-06-14
67경기도광명시2020소하2지구경기도 광명시 소하동 363-12020년 8.14 호우2020-08-142020-08-142020-08-142020-08-1450.3218.02020-08-142020-08-142020-09-212020-10-302020-11-0502021-01-19LX 시흥광명지사12023-06-14
78경기도광명시2020광명1지구경기도 광명시 광명로812번길 36(광명동 우일빌라)2020년 8.28~29 호우2020-08-282020-08-292020-08-292020-08-2950.3540.82020-08-282020-08-292020-09-212020-10-302020-11-0502021-01-19LX 시흥광명지사12023-06-14
89경기도광명시2020소하3지구경기도 광명시 소하동 916-1 지하층2020년 11.19. 호우2020-11-192020-11-192020-11-192020-11-1950.3116.02020-11-192020-11-192021-01-042021-01-152020-12-2102021-01-19LX 시흥광명지사12023-06-14
910경기도광명시2021소하1지구충현로 32번길 17 4동 B02호호우로 인한 침수2021-07-192021-07-192021-07-192021-07-1940.157.92021-07-192021-07-19<NA><NA><NA>12022-03-04LX 시흥광명지사12023-06-14
연번시도시군구기준년도지구명침수지역 위치재해명발생시작일발생종료일침수시작일침수종료일침수시간(시)침수심(미터)침수면적(제곱미터)침수흔적 초동조사시작일침수흔적 초동조사종료일초동조사결과 제출일(시군구에서 시도)침수흔적도 작성대상 결정일(시도에서 행안부)침수흔적도 작성의뢰일(시군구에서 LX)전문가(수자원 방재 해일 등) 공동수행 여부침수흔적도 작성완료일(행안부 시스템 등재일)작성기관침수흔적도 보고서 제출여부데이터기준일
4142경기도광명시2022철산6지구철산동398번지 일원8.8. ~ 17.호우2022-08-082022-08-102022-08-082022-08-10380.32320.82022-08-082022-08-172022-09-30<NA>2023-02-0202023-02-15LX 시흥광명지사12023-06-14
4243경기도광명시2022하안1지구하안동702-1번지 일원8.8. ~ 17.호우2022-08-082022-08-102022-08-082022-08-10380.31023.92022-08-082022-08-172022-09-30<NA>2023-02-0202023-02-15LX 시흥광명지사12023-06-14
4344경기도광명시2022하안2지구하안동650-1번지 일원8.8. ~ 17.호우2022-08-082022-08-102022-08-082022-08-10380.33407.92022-08-082022-08-172022-09-30<NA>2023-02-0202023-02-15LX 시흥광명지사12023-06-14
4445경기도광명시2022하안3지구하안동13-2번지 일원8.8. ~ 17.호우2022-08-082022-08-102022-08-082022-08-10380.31035.22022-08-082022-08-172022-09-30<NA>2023-02-0202023-02-15LX 시흥광명지사12023-06-14
4546경기도광명시2022하안4지구하안동33-5번지 일원8.8. ~ 17.호우2022-08-082022-08-102022-08-082022-08-10380.35624.02022-08-082022-08-172022-09-30<NA>2023-02-0202023-02-15LX 시흥광명지사12023-06-14
4647경기도광명시2022하안5지구하안동62번지 일원8.8. ~ 17.호우2022-08-082022-08-102022-08-082022-08-10380.315476.02022-08-082022-08-172022-09-30<NA>2023-02-0202023-02-15LX 시흥광명지사12023-06-14
4748경기도광명시2022하안6지구하안동582-10번지 일원8.8. ~ 17.호우2022-08-082022-08-102022-08-082022-08-10380.34411.82022-08-082022-08-172022-09-30<NA>2023-02-0202023-02-15LX 시흥광명지사12023-06-14
4849경기도광명시2022하안7지구하안동602-8번지 일원8.8. ~ 17.호우2022-08-082022-08-102022-08-082022-08-10380.31376.02022-08-082022-08-172022-09-30<NA>2023-02-0202023-02-15LX 시흥광명지사12023-06-14
4950경기도광명시2022하안8지구하안동260-2번지 일원8.8. ~ 17.호우2022-08-082022-08-102022-08-082022-08-10380.33757.92022-08-082022-08-172022-09-30<NA>2023-02-0202023-02-15LX 시흥광명지사12023-06-14
5051경기도광명시2022하안9지구하안동883-1번지8.8. ~ 17.호우2022-08-082022-08-102022-08-082022-08-10380.3163.02022-08-082022-08-172022-09-30<NA>2023-02-0202023-02-15LX 시흥광명지사12023-06-14