Overview

Dataset statistics

Number of variables39
Number of observations68
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.3 KiB
Average record size in memory350.9 B

Variable types

Categorical10
Text1
Numeric28

Dataset

Description지역별 재해 및 이재민 발생 통계정보를 제공하는 서비스
Author충청남도
URLhttps://alldam.chungnam.go.kr/bigdata/collect/view.chungnam?menuCd=DOM_000000201001001000&apiIdx=2988

Alerts

대구 세대수(세대) is highly imbalanced (56.9%)Imbalance
대구 이재민수(명) is highly imbalanced (67.7%)Imbalance
광주 세대수(세대) is highly imbalanced (80.9%)Imbalance
광주 이재민수(명) is highly imbalanced (80.9%)Imbalance
대전 세대수(세대) is highly imbalanced (75.9%)Imbalance
대전 이재민수(명) is highly imbalanced (75.9%)Imbalance
세종 세대수(세대) is highly imbalanced (71.2%)Imbalance
세종 이재민수(명) is highly imbalanced (72.0%)Imbalance
세대수 합계(세대) has 2 (2.9%) zerosZeros
이재민수 합계(명) has 1 (1.5%) zerosZeros
서울 세대수(세대) has 58 (85.3%) zerosZeros
서울 이재민수(명) has 58 (85.3%) zerosZeros
부산 세대수(세대) has 48 (70.6%) zerosZeros
부산 이재민수(명) has 47 (69.1%) zerosZeros
인천 세대수(세대) has 49 (72.1%) zerosZeros
인천 이재민수(명) has 49 (72.1%) zerosZeros
울산 세대수(세대) has 56 (82.4%) zerosZeros
울산 이재민수(명) has 56 (82.4%) zerosZeros
경기 세대수(세대) has 48 (70.6%) zerosZeros
경기 이재민수(명) has 48 (70.6%) zerosZeros
강원 세대수(세대) has 42 (61.8%) zerosZeros
강원 이재민수(명) has 42 (61.8%) zerosZeros
충북 세대수(세대) has 52 (76.5%) zerosZeros
충북 이재민수(명) has 52 (76.5%) zerosZeros
충남 세대수(세대) has 52 (76.5%) zerosZeros
충남 이재민수(명) has 52 (76.5%) zerosZeros
전북 세대수(세대) has 47 (69.1%) zerosZeros
전북 이재민수(명) has 47 (69.1%) zerosZeros
전남 세대수(세대) has 47 (69.1%) zerosZeros
전남 이재민수(명) has 47 (69.1%) zerosZeros
경북 세대수(세대) has 49 (72.1%) zerosZeros
경북 이재민수(명) has 49 (72.1%) zerosZeros
경남 세대수(세대) has 46 (67.6%) zerosZeros
경남 이재민수(명) has 46 (67.6%) zerosZeros
제주 세대수(세대) has 55 (80.9%) zerosZeros
제주 이재민수(명) has 54 (79.4%) zerosZeros

Reproduction

Analysis started2024-01-09 20:23:49.350060
Analysis finished2024-01-09 20:23:49.672810
Duration0.32 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년도
Categorical

Distinct5
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size676.0 B
2017
15 
2018
15 
2019
15 
2016
12 
2020
11 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2016
2nd row2016
3rd row2016
4th row2016
5th row2016

Common Values

ValueCountFrequency (%)
2017 15
22.1%
2018 15
22.1%
2019 15
22.1%
2016 12
17.6%
2020 11
16.2%

Length

2024-01-10T05:23:49.724509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:23:49.835048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017 15
22.1%
2018 15
22.1%
2019 15
22.1%
2016 12
17.6%
2020 11
16.2%

재해발생일
Text

Distinct63
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size676.0 B
2024-01-10T05:23:50.063911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9.5
Mean length5.2647059
Min length1

Characters and Unicode

Total characters358
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)89.7%

Sample

1st row총
2nd row1.17~25
3rd row5.2~5
4th row7.1~7
5th row7.3
ValueCountFrequency (%)
총 5
 
7.4%
7.31 2
 
2.9%
8.26~9.1 2
 
2.9%
6.26 2
 
2.9%
7.27 1
 
1.5%
7.23.~25 1
 
1.5%
8.22.~23 1
 
1.5%
8.25.~27 1
 
1.5%
8.27 1
 
1.5%
7.5 1
 
1.5%
Other values (51) 51
75.0%
2024-01-10T05:23:50.409053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 93
26.0%
1 48
13.4%
2 39
10.9%
~ 39
10.9%
7 35
 
9.8%
8 19
 
5.3%
6 19
 
5.3%
9 15
 
4.2%
5 15
 
4.2%
3 12
 
3.4%
Other values (3) 24
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 221
61.7%
Other Punctuation 93
26.0%
Math Symbol 39
 
10.9%
Other Letter 5
 
1.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 48
21.7%
2 39
17.6%
7 35
15.8%
8 19
 
8.6%
6 19
 
8.6%
9 15
 
6.8%
5 15
 
6.8%
3 12
 
5.4%
4 10
 
4.5%
0 9
 
4.1%
Other Punctuation
ValueCountFrequency (%)
. 93
100.0%
Math Symbol
ValueCountFrequency (%)
~ 39
100.0%
Other Letter
ValueCountFrequency (%)
총 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 353
98.6%
Hangul 5
 
1.4%

Most frequent character per script

Common
ValueCountFrequency (%)
. 93
26.3%
1 48
13.6%
2 39
11.0%
~ 39
11.0%
7 35
 
9.9%
8 19
 
5.4%
6 19
 
5.4%
9 15
 
4.2%
5 15
 
4.2%
3 12
 
3.4%
Other values (2) 19
 
5.4%
Hangul
ValueCountFrequency (%)
총 5
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 353
98.6%
Hangul 5
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 93
26.3%
1 48
13.6%
2 39
11.0%
~ 39
11.0%
7 35
 
9.9%
8 19
 
5.4%
6 19
 
5.4%
9 15
 
4.2%
5 15
 
4.2%
3 12
 
3.4%
Other values (2) 19
 
5.4%
Hangul
ValueCountFrequency (%)
총 5
100.0%

재해명
Categorical

Distinct17
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size676.0 B
호우
34 
태풍
8 
이재민
5 
강풍
5 
호우강풍풍랑
4 
Other values (12)
12 

Length

Max length16
Median length2
Mean length2.8970588
Min length2

Unique

Unique12 ?
Unique (%)17.6%

Sample

1st row이재민
2nd row대설풍랑강풍
3rd row호우강풍풍랑
4th row호우강풍풍랑
5th row호우

Common Values

ValueCountFrequency (%)
호우 34
50.0%
태풍 8
 
11.8%
이재민 5
 
7.4%
강풍 5
 
7.4%
호우강풍풍랑 4
 
5.9%
호우강풍풍량 1
 
1.5%
지진 1
 
1.5%
호우강풍 1
 
1.5%
태풍풍랑강풍 1
 
1.5%
대설풍랑강풍 1
 
1.5%
Other values (7) 7
 
10.3%

Length

2024-01-10T05:23:50.546089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
호우 34
49.3%
태풍 8
 
11.6%
이재민 5
 
7.2%
강풍 5
 
7.2%
호우강풍풍랑 4
 
5.8%
강원산불 1
 
1.4%
포항지진 1
 
1.4%
풍랑 1
 
1.4%
강풍&#44 1
 
1.4%
낙뢰 1
 
1.4%
Other values (8) 8
 
11.6%

세대수 합계(세대)
Real number (ℝ)

ZEROS 

Distinct41
Distinct (%)60.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean902.85294
Minimum0
Maximum11412
Zeros2
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size744.0 B
2024-01-10T05:23:50.654114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median7.5
Q3165.75
95-th percentile6068.1
Maximum11412
Range11412
Interquartile range (IQR)163.75

Descriptive statistics

Standard deviation2254.4375
Coefficient of variation (CV)2.4970151
Kurtosis9.8518332
Mean902.85294
Median Absolute Deviation (MAD)6.5
Skewness3.1108375
Sum61394
Variance5082488.3
MonotonicityNot monotonic
2024-01-10T05:23:50.768151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
1 13
19.1%
2 5
 
7.4%
7 4
 
5.9%
6 3
 
4.4%
4 3
 
4.4%
3 3
 
4.4%
10 2
 
2.9%
0 2
 
2.9%
15 1
 
1.5%
17 1
 
1.5%
Other values (31) 31
45.6%
ValueCountFrequency (%)
0 2
 
2.9%
1 13
19.1%
2 5
 
7.4%
3 3
 
4.4%
4 3
 
4.4%
5 1
 
1.5%
6 3
 
4.4%
7 4
 
5.9%
8 1
 
1.5%
10 2
 
2.9%
ValueCountFrequency (%)
11412 1
1.5%
9280 1
1.5%
7349 1
1.5%
6920 1
1.5%
4486 1
1.5%
3851 1
1.5%
3730 1
1.5%
3505 1
1.5%
2877 1
1.5%
1596 1
1.5%

이재민수 합계(명)
Real number (ℝ)

ZEROS 

Distinct47
Distinct (%)69.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1749.4412
Minimum0
Maximum20168
Zeros1
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size744.0 B
2024-01-10T05:23:50.888558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median15.5
Q3365
95-th percentile12676.7
Maximum20168
Range20168
Interquartile range (IQR)362

Descriptive statistics

Standard deviation4283.5667
Coefficient of variation (CV)2.4485343
Kurtosis8.0657939
Mean1749.4412
Median Absolute Deviation (MAD)14.5
Skewness2.9008733
Sum118962
Variance18348944
MonotonicityNot monotonic
2024-01-10T05:23:51.007895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
1 8
 
11.8%
2 6
 
8.8%
4 3
 
4.4%
13 3
 
4.4%
3 3
 
4.4%
11 2
 
2.9%
10 2
 
2.9%
5 2
 
2.9%
14804 1
 
1.5%
454 1
 
1.5%
Other values (37) 37
54.4%
ValueCountFrequency (%)
0 1
 
1.5%
1 8
11.8%
2 6
8.8%
3 3
 
4.4%
4 3
 
4.4%
5 2
 
2.9%
6 1
 
1.5%
7 1
 
1.5%
9 1
 
1.5%
10 2
 
2.9%
ValueCountFrequency (%)
20168 1
1.5%
16767 1
1.5%
14901 1
1.5%
14804 1
1.5%
8726 1
1.5%
8020 1
1.5%
7121 1
1.5%
6519 1
1.5%
6382 1
1.5%
3709 1
1.5%

서울 세대수(세대)
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.5
Minimum0
Maximum146
Zeros58
Zeros (%)85.3%
Negative0
Negative (%)0.0%
Memory size744.0 B
2024-01-10T05:23:51.102041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile17
Maximum146
Range146
Interquartile range (IQR)0

Descriptive statistics

Standard deviation22.547793
Coefficient of variation (CV)4.0995988
Kurtosis29.638165
Mean5.5
Median Absolute Deviation (MAD)0
Skewness5.3617698
Sum374
Variance508.40299
MonotonicityNot monotonic
2024-01-10T05:23:51.201585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 58
85.3%
17 2
 
2.9%
14 2
 
2.9%
10 2
 
2.9%
146 1
 
1.5%
33 1
 
1.5%
112 1
 
1.5%
1 1
 
1.5%
ValueCountFrequency (%)
0 58
85.3%
1 1
 
1.5%
10 2
 
2.9%
14 2
 
2.9%
17 2
 
2.9%
33 1
 
1.5%
112 1
 
1.5%
146 1
 
1.5%
ValueCountFrequency (%)
146 1
 
1.5%
112 1
 
1.5%
33 1
 
1.5%
17 2
 
2.9%
14 2
 
2.9%
10 2
 
2.9%
1 1
 
1.5%
0 58
85.3%

서울 이재민수(명)
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.411765
Minimum0
Maximum193
Zeros58
Zeros (%)85.3%
Negative0
Negative (%)0.0%
Memory size744.0 B
2024-01-10T05:23:51.325714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile99.25
Maximum193
Range193
Interquartile range (IQR)0

Descriptive statistics

Standard deviation35.646371
Coefficient of variation (CV)3.123651
Kurtosis13.31314
Mean11.411765
Median Absolute Deviation (MAD)0
Skewness3.6203547
Sum776
Variance1270.6637
MonotonicityNot monotonic
2024-01-10T05:23:51.460103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 58
85.3%
43 2
 
2.9%
30 2
 
2.9%
122 2
 
2.9%
193 1
 
1.5%
57 1
 
1.5%
135 1
 
1.5%
1 1
 
1.5%
ValueCountFrequency (%)
0 58
85.3%
1 1
 
1.5%
30 2
 
2.9%
43 2
 
2.9%
57 1
 
1.5%
122 2
 
2.9%
135 1
 
1.5%
193 1
 
1.5%
ValueCountFrequency (%)
193 1
 
1.5%
135 1
 
1.5%
122 2
 
2.9%
57 1
 
1.5%
43 2
 
2.9%
30 2
 
2.9%
1 1
 
1.5%
0 58
85.3%

부산 세대수(세대)
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.264706
Minimum0
Maximum818
Zeros48
Zeros (%)70.6%
Negative0
Negative (%)0.0%
Memory size744.0 B
2024-01-10T05:23:51.582850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile271.55
Maximum818
Range818
Interquartile range (IQR)1

Descriptive statistics

Standard deviation129.37642
Coefficient of variation (CV)3.7757924
Kurtosis23.491888
Mean34.264706
Median Absolute Deviation (MAD)0
Skewness4.6690251
Sum2330
Variance16738.257
MonotonicityNot monotonic
2024-01-10T05:23:51.703552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 48
70.6%
1 5
 
7.4%
2 2
 
2.9%
5 2
 
2.9%
306 1
 
1.5%
302 1
 
1.5%
13 1
 
1.5%
11 1
 
1.5%
23 1
 
1.5%
22 1
 
1.5%
Other values (5) 5
 
7.4%
ValueCountFrequency (%)
0 48
70.6%
1 5
 
7.4%
2 2
 
2.9%
4 1
 
1.5%
5 2
 
2.9%
11 1
 
1.5%
13 1
 
1.5%
22 1
 
1.5%
23 1
 
1.5%
52 1
 
1.5%
ValueCountFrequency (%)
818 1
1.5%
545 1
1.5%
306 1
1.5%
302 1
1.5%
215 1
1.5%
52 1
1.5%
23 1
1.5%
22 1
1.5%
13 1
1.5%
11 1
1.5%

부산 이재민수(명)
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.823529
Minimum0
Maximum1105
Zeros47
Zeros (%)69.1%
Negative0
Negative (%)0.0%
Memory size744.0 B
2024-01-10T05:23:51.810147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile531.9
Maximum1105
Range1105
Interquartile range (IQR)2

Descriptive statistics

Standard deviation185.74111
Coefficient of variation (CV)3.5162571
Kurtosis17.771278
Mean52.823529
Median Absolute Deviation (MAD)0
Skewness4.1041393
Sum3592
Variance34499.759
MonotonicityNot monotonic
2024-01-10T05:23:51.928632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 47
69.1%
3 3
 
4.4%
1 3
 
4.4%
2 2
 
2.9%
613 1
 
1.5%
8 1
 
1.5%
398 1
 
1.5%
95 1
 
1.5%
604 1
 
1.5%
6 1
 
1.5%
Other values (7) 7
 
10.3%
ValueCountFrequency (%)
0 47
69.1%
1 3
 
4.4%
2 2
 
2.9%
3 3
 
4.4%
6 1
 
1.5%
8 1
 
1.5%
12 1
 
1.5%
20 1
 
1.5%
22 1
 
1.5%
43 1
 
1.5%
ValueCountFrequency (%)
1105 1
1.5%
613 1
1.5%
606 1
1.5%
604 1
1.5%
398 1
1.5%
95 1
1.5%
44 1
1.5%
43 1
1.5%
22 1
1.5%
20 1
1.5%

대구 세대수(세대)
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size676.0 B
0
62 
1
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 62
91.2%
1 6
 
8.8%

Length

2024-01-10T05:23:52.062115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:23:52.163118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 62
91.2%
1 6
 
8.8%

대구 이재민수(명)
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size676.0 B
0
62 
4
 
4
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 62
91.2%
4 4
 
5.9%
2 2
 
2.9%

Length

2024-01-10T05:23:52.255884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:23:52.344165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 62
91.2%
4 4
 
5.9%
2 2
 
2.9%

인천 세대수(세대)
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean123.20588
Minimum0
Maximum4073
Zeros49
Zeros (%)72.1%
Negative0
Negative (%)0.0%
Memory size744.0 B
2024-01-10T05:23:52.426343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.5
95-th percentile37.3
Maximum4073
Range4073
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation687.1727
Coefficient of variation (CV)5.5774342
Kurtosis31.370853
Mean123.20588
Median Absolute Deviation (MAD)0
Skewness5.6954317
Sum8378
Variance472206.32
MonotonicityNot monotonic
2024-01-10T05:23:52.581288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 49
72.1%
19 2
 
2.9%
5 2
 
2.9%
1 2
 
2.9%
50 1
 
1.5%
6 1
 
1.5%
4 1
 
1.5%
18 1
 
1.5%
23 1
 
1.5%
38 1
 
1.5%
Other values (7) 7
 
10.3%
ValueCountFrequency (%)
0 49
72.1%
1 2
 
2.9%
3 1
 
1.5%
4 1
 
1.5%
5 2
 
2.9%
6 1
 
1.5%
14 1
 
1.5%
18 1
 
1.5%
19 2
 
2.9%
22 1
 
1.5%
ValueCountFrequency (%)
4073 1
1.5%
4009 1
1.5%
50 1
1.5%
38 1
1.5%
36 1
1.5%
32 1
1.5%
23 1
1.5%
22 1
1.5%
19 2
2.9%
18 1
1.5%

인천 이재민수(명)
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean231.79412
Minimum0
Maximum7652
Zeros49
Zeros (%)72.1%
Negative0
Negative (%)0.0%
Memory size744.0 B
2024-01-10T05:23:52.951451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.25
95-th percentile82.95
Maximum7652
Range7652
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation1292.1123
Coefficient of variation (CV)5.5743962
Kurtosis31.36713
Mean231.79412
Median Absolute Deviation (MAD)0
Skewness5.6950782
Sum15762
Variance1669554.1
MonotonicityNot monotonic
2024-01-10T05:23:53.060244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 49
72.1%
10 3
 
4.4%
30 2
 
2.9%
49 2
 
2.9%
2 2
 
2.9%
98 1
 
1.5%
68 1
 
1.5%
7652 1
 
1.5%
3 1
 
1.5%
44 1
 
1.5%
Other values (5) 5
 
7.4%
ValueCountFrequency (%)
0 49
72.1%
2 2
 
2.9%
3 1
 
1.5%
9 1
 
1.5%
10 3
 
4.4%
18 1
 
1.5%
30 2
 
2.9%
42 1
 
1.5%
44 1
 
1.5%
49 2
 
2.9%
ValueCountFrequency (%)
7652 1
1.5%
7545 1
1.5%
98 1
1.5%
91 1
1.5%
68 1
1.5%
49 2
2.9%
44 1
1.5%
42 1
1.5%
30 2
2.9%
18 1
1.5%

광주 세대수(세대)
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size676.0 B
0
66 
895
 
2

Length

Max length3
Median length1
Mean length1.0588235
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 66
97.1%
895 2
 
2.9%

Length

2024-01-10T05:23:53.187860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:23:53.289720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 66
97.1%
895 2
 
2.9%

광주 이재민수(명)
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size676.0 B
0
66 
1680
 
2

Length

Max length4
Median length1
Mean length1.0882353
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 66
97.1%
1680 2
 
2.9%

Length

2024-01-10T05:23:53.412819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:23:53.553504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 66
97.1%
1680 2
 
2.9%

대전 세대수(세대)
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size676.0 B
0
64 
2
 
2
536
 
2

Length

Max length3
Median length1
Mean length1.0588235
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 64
94.1%
2 2
 
2.9%
536 2
 
2.9%

Length

2024-01-10T05:23:53.694178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:23:53.812173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 64
94.1%
2 2
 
2.9%
536 2
 
2.9%

대전 이재민수(명)
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size676.0 B
0
64 
5
 
2
976
 
2

Length

Max length3
Median length1
Mean length1.0588235
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 64
94.1%
5 2
 
2.9%
976 2
 
2.9%

Length

2024-01-10T05:23:53.918943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:23:54.006644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 64
94.1%
5 2
 
2.9%
976 2
 
2.9%

울산 세대수(세대)
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.117647
Minimum0
Maximum1705
Zeros56
Zeros (%)82.4%
Negative0
Negative (%)0.0%
Memory size744.0 B
2024-01-10T05:23:54.079323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile56
Maximum1705
Range1705
Interquartile range (IQR)0

Descriptive statistics

Standard deviation257.58016
Coefficient of variation (CV)4.8492389
Kurtosis31.456119
Mean53.117647
Median Absolute Deviation (MAD)0
Skewness5.5468893
Sum3612
Variance66347.538
MonotonicityNot monotonic
2024-01-10T05:23:54.170384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 56
82.4%
6 2
 
2.9%
1705 1
 
1.5%
486 1
 
1.5%
1219 1
 
1.5%
32 1
 
1.5%
3 1
 
1.5%
4 1
 
1.5%
25 1
 
1.5%
63 1
 
1.5%
Other values (2) 2
 
2.9%
ValueCountFrequency (%)
0 56
82.4%
3 1
 
1.5%
4 1
 
1.5%
6 2
 
2.9%
20 1
 
1.5%
25 1
 
1.5%
32 1
 
1.5%
43 1
 
1.5%
63 1
 
1.5%
486 1
 
1.5%
ValueCountFrequency (%)
1705 1
1.5%
1219 1
1.5%
486 1
1.5%
63 1
1.5%
43 1
1.5%
32 1
1.5%
25 1
1.5%
20 1
1.5%
6 2
2.9%
4 1
1.5%

울산 이재민수(명)
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean120.35294
Minimum0
Maximum3907
Zeros56
Zeros (%)82.4%
Negative0
Negative (%)0.0%
Memory size744.0 B
2024-01-10T05:23:54.276027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile92.45
Maximum3907
Range3907
Interquartile range (IQR)0

Descriptive statistics

Standard deviation589.50396
Coefficient of variation (CV)4.8981267
Kurtosis31.498013
Mean120.35294
Median Absolute Deviation (MAD)0
Skewness5.5484315
Sum8184
Variance347514.92
MonotonicityNot monotonic
2024-01-10T05:23:54.370561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 56
82.4%
11 3
 
4.4%
3907 1
 
1.5%
1133 1
 
1.5%
2774 1
 
1.5%
70 1
 
1.5%
6 1
 
1.5%
53 1
 
1.5%
104 1
 
1.5%
33 1
 
1.5%
ValueCountFrequency (%)
0 56
82.4%
6 1
 
1.5%
11 3
 
4.4%
33 1
 
1.5%
53 1
 
1.5%
70 1
 
1.5%
71 1
 
1.5%
104 1
 
1.5%
1133 1
 
1.5%
2774 1
 
1.5%
ValueCountFrequency (%)
3907 1
 
1.5%
2774 1
 
1.5%
1133 1
 
1.5%
104 1
 
1.5%
71 1
 
1.5%
70 1
 
1.5%
53 1
 
1.5%
33 1
 
1.5%
11 3
4.4%
6 1
 
1.5%

세종 세대수(세대)
Categorical

IMBALANCE 

Distinct5
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size676.0 B
0
61 
2
 
3
1
 
2
28
 
1
26
 
1

Length

Max length2
Median length1
Mean length1.0294118
Min length1

Unique

Unique2 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
0 61
89.7%
2 3
 
4.4%
1 2
 
2.9%
28 1
 
1.5%
26 1
 
1.5%

Length

2024-01-10T05:23:54.488713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:23:54.603899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 61
89.7%
2 3
 
4.4%
1 2
 
2.9%
28 1
 
1.5%
26 1
 
1.5%

세종 이재민수(명)
Categorical

IMBALANCE 

Distinct5
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size676.0 B
0
61 
4
 
4
28
 
1
2
 
1
26
 
1

Length

Max length2
Median length1
Mean length1.0294118
Min length1

Unique

Unique3 ?
Unique (%)4.4%

Sample

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

Common Values

ValueCountFrequency (%)
0 61
89.7%
4 4
 
5.9%
28 1
 
1.5%
2 1
 
1.5%
26 1
 
1.5%

Length

2024-01-10T05:23:54.704501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:23:54.801690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 61
89.7%
4 4
 
5.9%
28 1
 
1.5%
2 1
 
1.5%
26 1
 
1.5%

경기 세대수(세대)
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)23.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.058824
Minimum0
Maximum1210
Zeros48
Zeros (%)70.6%
Negative0
Negative (%)0.0%
Memory size744.0 B
2024-01-10T05:23:54.906781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile330
Maximum1210
Range1210
Interquartile range (IQR)2

Descriptive statistics

Standard deviation218.09336
Coefficient of variation (CV)4.110407
Kurtosis22.406051
Mean53.058824
Median Absolute Deviation (MAD)0
Skewness4.7197576
Sum3608
Variance47564.713
MonotonicityNot monotonic
2024-01-10T05:23:55.031174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 48
70.6%
2 3
 
4.4%
1 2
 
2.9%
6 2
 
2.9%
7 2
 
2.9%
1190 1
 
1.5%
14 1
 
1.5%
1210 1
 
1.5%
33 1
 
1.5%
22 1
 
1.5%
Other values (6) 6
 
8.8%
ValueCountFrequency (%)
0 48
70.6%
1 2
 
2.9%
2 3
 
4.4%
6 2
 
2.9%
7 2
 
2.9%
13 1
 
1.5%
14 1
 
1.5%
20 1
 
1.5%
22 1
 
1.5%
24 1
 
1.5%
ValueCountFrequency (%)
1210 1
1.5%
1190 1
1.5%
514 1
1.5%
477 1
1.5%
57 1
1.5%
33 1
1.5%
24 1
1.5%
22 1
1.5%
20 1
1.5%
14 1
1.5%

경기 이재민수(명)
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)29.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.76471
Minimum0
Maximum2083
Zeros48
Zeros (%)70.6%
Negative0
Negative (%)0.0%
Memory size744.0 B
2024-01-10T05:23:55.153985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.25
95-th percentile808.95
Maximum2083
Range2083
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation403.2124
Coefficient of variation (CV)3.8858338
Kurtosis17.35768
Mean103.76471
Median Absolute Deviation (MAD)0
Skewness4.2265393
Sum7056
Variance162580.24
MonotonicityNot monotonic
2024-01-10T05:23:55.252999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 48
70.6%
1 2
 
2.9%
52 1
 
1.5%
3 1
 
1.5%
10 1
 
1.5%
2059 1
 
1.5%
14 1
 
1.5%
2083 1
 
1.5%
2 1
 
1.5%
66 1
 
1.5%
Other values (10) 10
 
14.7%
ValueCountFrequency (%)
0 48
70.6%
1 2
 
2.9%
2 1
 
1.5%
3 1
 
1.5%
6 1
 
1.5%
10 1
 
1.5%
13 1
 
1.5%
14 1
 
1.5%
16 1
 
1.5%
18 1
 
1.5%
ValueCountFrequency (%)
2083 1
1.5%
2059 1
1.5%
1274 1
1.5%
1181 1
1.5%
118 1
1.5%
66 1
1.5%
59 1
1.5%
52 1
1.5%
46 1
1.5%
34 1
1.5%

강원 세대수(세대)
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)26.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.941176
Minimum0
Maximum1118
Zeros42
Zeros (%)61.8%
Negative0
Negative (%)0.0%
Memory size744.0 B
2024-01-10T05:23:55.368557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33.25
95-th percentile315.2
Maximum1118
Range1118
Interquartile range (IQR)3.25

Descriptive statistics

Standard deviation208.0269
Coefficient of variation (CV)3.7863568
Kurtosis20.200219
Mean54.941176
Median Absolute Deviation (MAD)0
Skewness4.4848301
Sum3736
Variance43275.191
MonotonicityNot monotonic
2024-01-10T05:23:55.540588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 42
61.8%
1 6
 
8.8%
6 2
 
2.9%
3 2
 
2.9%
38 2
 
2.9%
5 2
 
2.9%
16 1
 
1.5%
1118 1
 
1.5%
346 1
 
1.5%
258 1
 
1.5%
Other values (8) 8
 
11.8%
ValueCountFrequency (%)
0 42
61.8%
1 6
 
8.8%
2 1
 
1.5%
3 2
 
2.9%
4 1
 
1.5%
5 2
 
2.9%
6 2
 
2.9%
11 1
 
1.5%
16 1
 
1.5%
20 1
 
1.5%
ValueCountFrequency (%)
1118 1
1.5%
1117 1
1.5%
642 1
1.5%
346 1
1.5%
258 1
1.5%
63 1
1.5%
38 2
2.9%
29 1
1.5%
20 1
1.5%
16 1
1.5%

강원 이재민수(명)
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)30.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.02941
Minimum0
Maximum2026
Zeros42
Zeros (%)61.8%
Negative0
Negative (%)0.0%
Memory size744.0 B
2024-01-10T05:23:55.668155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35.25
95-th percentile584.7
Maximum2026
Range2026
Interquartile range (IQR)5.25

Descriptive statistics

Standard deviation379.68824
Coefficient of variation (CV)3.7581951
Kurtosis19.668892
Mean101.02941
Median Absolute Deviation (MAD)0
Skewness4.4289536
Sum6870
Variance144163.16
MonotonicityNot monotonic
2024-01-10T05:23:55.785193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 42
61.8%
1 4
 
5.9%
5 2
 
2.9%
2 2
 
2.9%
6 2
 
2.9%
26 1
 
1.5%
40 1
 
1.5%
612 1
 
1.5%
534 1
 
1.5%
61 1
 
1.5%
Other values (11) 11
 
16.2%
ValueCountFrequency (%)
0 42
61.8%
1 4
 
5.9%
2 2
 
2.9%
3 1
 
1.5%
5 2
 
2.9%
6 2
 
2.9%
8 1
 
1.5%
11 1
 
1.5%
12 1
 
1.5%
18 1
 
1.5%
ValueCountFrequency (%)
2026 1
1.5%
2025 1
1.5%
1207 1
1.5%
612 1
1.5%
534 1
1.5%
122 1
1.5%
81 1
1.5%
61 1
1.5%
54 1
1.5%
40 1
1.5%

충북 세대수(세대)
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.441176
Minimum0
Maximum1176
Zeros52
Zeros (%)76.5%
Negative0
Negative (%)0.0%
Memory size744.0 B
2024-01-10T05:23:55.884670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile605.3
Maximum1176
Range1176
Interquartile range (IQR)0

Descriptive statistics

Standard deviation249.61399
Coefficient of variation (CV)3.9975863
Kurtosis14.033079
Mean62.441176
Median Absolute Deviation (MAD)0
Skewness3.9212503
Sum4246
Variance62307.146
MonotonicityNot monotonic
2024-01-10T05:23:55.978993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 52
76.5%
2 4
 
5.9%
1 4
 
5.9%
7 2
 
2.9%
1176 1
 
1.5%
1154 1
 
1.5%
19 1
 
1.5%
936 1
 
1.5%
921 1
 
1.5%
14 1
 
1.5%
ValueCountFrequency (%)
0 52
76.5%
1 4
 
5.9%
2 4
 
5.9%
7 2
 
2.9%
14 1
 
1.5%
19 1
 
1.5%
921 1
 
1.5%
936 1
 
1.5%
1154 1
 
1.5%
1176 1
 
1.5%
ValueCountFrequency (%)
1176 1
 
1.5%
1154 1
 
1.5%
936 1
 
1.5%
921 1
 
1.5%
19 1
 
1.5%
14 1
 
1.5%
7 2
 
2.9%
2 4
 
5.9%
1 4
 
5.9%
0 52
76.5%

충북 이재민수(명)
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean134.41176
Minimum0
Maximum2792
Zeros52
Zeros (%)76.5%
Negative0
Negative (%)0.0%
Memory size744.0 B
2024-01-10T05:23:56.063522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1139.95
Maximum2792
Range2792
Interquartile range (IQR)0

Descriptive statistics

Standard deviation548.34479
Coefficient of variation (CV)4.0795892
Kurtosis16.612578
Mean134.41176
Median Absolute Deviation (MAD)0
Skewness4.1620496
Sum9140
Variance300682.01
MonotonicityNot monotonic
2024-01-10T05:23:56.141851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 52
76.5%
1 4
 
5.9%
4 3
 
4.4%
19 2
 
2.9%
2 1
 
1.5%
2792 1
 
1.5%
2741 1
 
1.5%
46 1
 
1.5%
1753 1
 
1.5%
1729 1
 
1.5%
ValueCountFrequency (%)
0 52
76.5%
1 4
 
5.9%
2 1
 
1.5%
4 3
 
4.4%
19 2
 
2.9%
23 1
 
1.5%
46 1
 
1.5%
1729 1
 
1.5%
1753 1
 
1.5%
2741 1
 
1.5%
ValueCountFrequency (%)
2792 1
 
1.5%
2741 1
 
1.5%
1753 1
 
1.5%
1729 1
 
1.5%
46 1
 
1.5%
23 1
 
1.5%
19 2
2.9%
4 3
4.4%
2 1
 
1.5%
1 4
5.9%

충남 세대수(세대)
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.5
Minimum0
Maximum1308
Zeros52
Zeros (%)76.5%
Negative0
Negative (%)0.0%
Memory size744.0 B
2024-01-10T05:23:56.221717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile248.7
Maximum1308
Range1308
Interquartile range (IQR)0

Descriptive statistics

Standard deviation228.50543
Coefficient of variation (CV)4.4369986
Kurtosis26.157273
Mean51.5
Median Absolute Deviation (MAD)0
Skewness5.1063646
Sum3502
Variance52214.731
MonotonicityNot monotonic
2024-01-10T05:23:56.310521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 52
76.5%
3 3
 
4.4%
1 2
 
2.9%
2 2
 
2.9%
32 2
 
2.9%
403 1
 
1.5%
42 1
 
1.5%
360 1
 
1.5%
5 1
 
1.5%
1308 1
 
1.5%
Other values (2) 2
 
2.9%
ValueCountFrequency (%)
0 52
76.5%
1 2
 
2.9%
2 2
 
2.9%
3 3
 
4.4%
5 1
 
1.5%
12 1
 
1.5%
32 2
 
2.9%
42 1
 
1.5%
360 1
 
1.5%
403 1
 
1.5%
ValueCountFrequency (%)
1308 1
 
1.5%
1293 1
 
1.5%
403 1
 
1.5%
360 1
 
1.5%
42 1
 
1.5%
32 2
2.9%
12 1
 
1.5%
5 1
 
1.5%
3 3
4.4%
2 2
2.9%

충남 이재민수(명)
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.882353
Minimum0
Maximum1958
Zeros52
Zeros (%)76.5%
Negative0
Negative (%)0.0%
Memory size744.0 B
2024-01-10T05:23:56.399497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile568.05
Maximum1958
Range1958
Interquartile range (IQR)0

Descriptive statistics

Standard deviation357.47278
Coefficient of variation (CV)4.1144464
Kurtosis21.27787
Mean86.882353
Median Absolute Deviation (MAD)0
Skewness4.6076092
Sum5908
Variance127786.79
MonotonicityNot monotonic
2024-01-10T05:23:56.490556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 52
76.5%
5 3
 
4.4%
60 2
 
2.9%
922 1
 
1.5%
102 1
 
1.5%
1 1
 
1.5%
819 1
 
1.5%
9 1
 
1.5%
4 1
 
1.5%
1958 1
 
1.5%
Other values (4) 4
 
5.9%
ValueCountFrequency (%)
0 52
76.5%
1 1
 
1.5%
2 1
 
1.5%
3 1
 
1.5%
4 1
 
1.5%
5 3
 
4.4%
9 1
 
1.5%
29 1
 
1.5%
60 2
 
2.9%
102 1
 
1.5%
ValueCountFrequency (%)
1958 1
 
1.5%
1924 1
 
1.5%
922 1
 
1.5%
819 1
 
1.5%
102 1
 
1.5%
60 2
2.9%
29 1
 
1.5%
9 1
 
1.5%
5 3
4.4%
4 1
 
1.5%

전북 세대수(세대)
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.941176
Minimum0
Maximum1038
Zeros47
Zeros (%)69.1%
Negative0
Negative (%)0.0%
Memory size744.0 B
2024-01-10T05:23:56.591436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile32.9
Maximum1038
Range1038
Interquartile range (IQR)1

Descriptive statistics

Standard deviation175.84482
Coefficient of variation (CV)5.3381462
Kurtosis31.223748
Mean32.941176
Median Absolute Deviation (MAD)0
Skewness5.6770883
Sum2240
Variance30921.399
MonotonicityNot monotonic
2024-01-10T05:23:56.702696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 47
69.1%
1 5
 
7.4%
3 4
 
5.9%
7 2
 
2.9%
2 2
 
2.9%
52 1
 
1.5%
42 1
 
1.5%
11 1
 
1.5%
16 1
 
1.5%
10 1
 
1.5%
Other values (3) 3
 
4.4%
ValueCountFrequency (%)
0 47
69.1%
1 5
 
7.4%
2 2
 
2.9%
3 4
 
5.9%
5 1
 
1.5%
7 2
 
2.9%
10 1
 
1.5%
11 1
 
1.5%
16 1
 
1.5%
42 1
 
1.5%
ValueCountFrequency (%)
1038 1
 
1.5%
1031 1
 
1.5%
52 1
 
1.5%
42 1
 
1.5%
16 1
 
1.5%
11 1
 
1.5%
10 1
 
1.5%
7 2
2.9%
5 1
 
1.5%
3 4
5.9%

전북 이재민수(명)
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.441176
Minimum0
Maximum1845
Zeros47
Zeros (%)69.1%
Negative0
Negative (%)0.0%
Memory size744.0 B
2024-01-10T05:23:56.782505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile100.05
Maximum1845
Range1845
Interquartile range (IQR)4

Descriptive statistics

Standard deviation313.17633
Coefficient of variation (CV)5.1815062
Kurtosis30.938773
Mean60.441176
Median Absolute Deviation (MAD)0
Skewness5.6417795
Sum4110
Variance98079.414
MonotonicityNot monotonic
2024-01-10T05:23:56.888790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 47
69.1%
4 4
 
5.9%
7 4
 
5.9%
24 2
 
2.9%
10 1
 
1.5%
2 1
 
1.5%
152 1
 
1.5%
141 1
 
1.5%
1 1
 
1.5%
5 1
 
1.5%
Other values (5) 5
 
7.4%
ValueCountFrequency (%)
0 47
69.1%
1 1
 
1.5%
2 1
 
1.5%
3 1
 
1.5%
4 4
 
5.9%
5 1
 
1.5%
7 4
 
5.9%
9 1
 
1.5%
10 1
 
1.5%
14 1
 
1.5%
ValueCountFrequency (%)
1845 1
 
1.5%
1836 1
 
1.5%
152 1
 
1.5%
141 1
 
1.5%
24 2
2.9%
14 1
 
1.5%
10 1
 
1.5%
9 1
 
1.5%
7 4
5.9%
5 1
 
1.5%

전남 세대수(세대)
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.441176
Minimum0
Maximum2943
Zeros47
Zeros (%)69.1%
Negative0
Negative (%)0.0%
Memory size744.0 B
2024-01-10T05:23:57.016042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile119.7
Maximum2943
Range2943
Interquartile range (IQR)2

Descriptive statistics

Standard deviation485.96368
Coefficient of variation (CV)5.314495
Kurtosis31.303797
Mean91.441176
Median Absolute Deviation (MAD)0
Skewness5.6787295
Sum6218
Variance236160.7
MonotonicityNot monotonic
2024-01-10T05:23:57.159396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 47
69.1%
2 3
 
4.4%
1 3
 
4.4%
3 2
 
2.9%
9 1
 
1.5%
38 1
 
1.5%
17 1
 
1.5%
2771 1
 
1.5%
150 1
 
1.5%
2943 1
 
1.5%
Other values (7) 7
 
10.3%
ValueCountFrequency (%)
0 47
69.1%
1 3
 
4.4%
2 3
 
4.4%
3 2
 
2.9%
4 1
 
1.5%
5 1
 
1.5%
6 1
 
1.5%
9 1
 
1.5%
14 1
 
1.5%
17 1
 
1.5%
ValueCountFrequency (%)
2943 1
1.5%
2771 1
1.5%
150 1
1.5%
133 1
1.5%
95 1
1.5%
38 1
1.5%
18 1
1.5%
17 1
1.5%
14 1
1.5%
9 1
1.5%

전남 이재민수(명)
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)26.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean174.55882
Minimum0
Maximum5604
Zeros47
Zeros (%)69.1%
Negative0
Negative (%)0.0%
Memory size744.0 B
2024-01-10T05:23:57.323073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.25
95-th percentile236.55
Maximum5604
Range5604
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation926.93308
Coefficient of variation (CV)5.3101474
Kurtosis31.278258
Mean174.55882
Median Absolute Deviation (MAD)0
Skewness5.6764466
Sum11870
Variance859204.94
MonotonicityNot monotonic
2024-01-10T05:23:57.471558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 47
69.1%
1 3
 
4.4%
4 2
 
2.9%
3 2
 
2.9%
11 1
 
1.5%
113 1
 
1.5%
28 1
 
1.5%
5295 1
 
1.5%
274 1
 
1.5%
5604 1
 
1.5%
Other values (8) 8
 
11.8%
ValueCountFrequency (%)
0 47
69.1%
1 3
 
4.4%
2 1
 
1.5%
3 2
 
2.9%
4 2
 
2.9%
5 1
 
1.5%
8 1
 
1.5%
9 1
 
1.5%
11 1
 
1.5%
26 1
 
1.5%
ValueCountFrequency (%)
5604 1
1.5%
5295 1
1.5%
280 1
1.5%
274 1
1.5%
167 1
1.5%
113 1
1.5%
31 1
1.5%
28 1
1.5%
26 1
1.5%
11 1
1.5%

경북 세대수(세대)
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)26.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean234.02941
Minimum0
Maximum3526
Zeros49
Zeros (%)72.1%
Negative0
Negative (%)0.0%
Memory size744.0 B
2024-01-10T05:23:57.628983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1709.05
Maximum3526
Range3526
Interquartile range (IQR)1

Descriptive statistics

Standard deviation695.51231
Coefficient of variation (CV)2.9719013
Kurtosis13.254113
Mean234.02941
Median Absolute Deviation (MAD)0
Skewness3.5979094
Sum15914
Variance483737.37
MonotonicityNot monotonic
2024-01-10T05:23:57.797951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 49
72.1%
1 3
 
4.4%
1137 1
 
1.5%
438 1
 
1.5%
31 1
 
1.5%
20 1
 
1.5%
490 1
 
1.5%
2016 1
 
1.5%
4 1
 
1.5%
2020 1
 
1.5%
Other values (8) 8
 
11.8%
ValueCountFrequency (%)
0 49
72.1%
1 3
 
4.4%
2 1
 
1.5%
4 1
 
1.5%
20 1
 
1.5%
31 1
 
1.5%
37 1
 
1.5%
128 1
 
1.5%
438 1
 
1.5%
490 1
 
1.5%
ValueCountFrequency (%)
3526 1
1.5%
3361 1
1.5%
2020 1
1.5%
2016 1
1.5%
1139 1
1.5%
1137 1
1.5%
782 1
1.5%
780 1
1.5%
490 1
1.5%
438 1
1.5%

경북 이재민수(명)
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)26.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean461.58824
Minimum0
Maximum7216
Zeros49
Zeros (%)72.1%
Negative0
Negative (%)0.0%
Memory size744.0 B
2024-01-10T05:23:57.952467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.75
95-th percentile3245.35
Maximum7216
Range7216
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation1393.2778
Coefficient of variation (CV)3.018443
Kurtosis14.429592
Mean461.58824
Median Absolute Deviation (MAD)0
Skewness3.7277859
Sum31388
Variance1941222.9
MonotonicityNot monotonic
2024-01-10T05:23:58.082855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 49
72.1%
1 2
 
2.9%
4 2
 
2.9%
3814 1
 
1.5%
818 1
 
1.5%
52 1
 
1.5%
32 1
 
1.5%
903 1
 
1.5%
3805 1
 
1.5%
9 1
 
1.5%
Other values (8) 8
 
11.8%
ValueCountFrequency (%)
0 49
72.1%
1 2
 
2.9%
4 2
 
2.9%
9 1
 
1.5%
32 1
 
1.5%
52 1
 
1.5%
82 1
 
1.5%
252 1
 
1.5%
818 1
 
1.5%
903 1
 
1.5%
ValueCountFrequency (%)
7216 1
1.5%
6882 1
1.5%
3814 1
1.5%
3805 1
1.5%
2206 1
1.5%
2201 1
1.5%
1555 1
1.5%
1551 1
1.5%
903 1
1.5%
818 1
1.5%

경남 세대수(세대)
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)23.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.764706
Minimum0
Maximum741
Zeros46
Zeros (%)67.6%
Negative0
Negative (%)0.0%
Memory size744.0 B
2024-01-10T05:23:58.238505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile249.7
Maximum741
Range741
Interquartile range (IQR)1

Descriptive statistics

Standard deviation138.27467
Coefficient of variation (CV)3.0889216
Kurtosis16.422091
Mean44.764706
Median Absolute Deviation (MAD)0
Skewness3.9219152
Sum3044
Variance19119.884
MonotonicityNot monotonic
2024-01-10T05:23:58.405466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 46
67.6%
1 7
 
10.3%
2 2
 
2.9%
222 1
 
1.5%
53 1
 
1.5%
263 1
 
1.5%
318 1
 
1.5%
212 1
 
1.5%
5 1
 
1.5%
741 1
 
1.5%
Other values (6) 6
 
8.8%
ValueCountFrequency (%)
0 46
67.6%
1 7
 
10.3%
2 2
 
2.9%
5 1
 
1.5%
14 1
 
1.5%
16 1
 
1.5%
34 1
 
1.5%
53 1
 
1.5%
212 1
 
1.5%
222 1
 
1.5%
ValueCountFrequency (%)
741 1
1.5%
706 1
1.5%
318 1
1.5%
263 1
1.5%
225 1
1.5%
224 1
1.5%
222 1
1.5%
212 1
1.5%
53 1
1.5%
34 1
1.5%

경남 이재민수(명)
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.147059
Minimum0
Maximum1529
Zeros46
Zeros (%)67.6%
Negative0
Negative (%)0.0%
Memory size744.0 B
2024-01-10T05:23:58.568118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile474.35
Maximum1529
Range1529
Interquartile range (IQR)2

Descriptive statistics

Standard deviation277.51774
Coefficient of variation (CV)3.2214419
Kurtosis18.876987
Mean86.147059
Median Absolute Deviation (MAD)0
Skewness4.2165438
Sum5858
Variance77016.097
MonotonicityNot monotonic
2024-01-10T05:23:58.734484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 46
67.6%
1 4
 
5.9%
2 3
 
4.4%
4 2
 
2.9%
397 1
 
1.5%
100 1
 
1.5%
516 1
 
1.5%
621 1
 
1.5%
383 1
 
1.5%
8 1
 
1.5%
Other values (7) 7
 
10.3%
ValueCountFrequency (%)
0 46
67.6%
1 4
 
5.9%
2 3
 
4.4%
4 2
 
2.9%
8 1
 
1.5%
37 1
 
1.5%
39 1
 
1.5%
72 1
 
1.5%
100 1
 
1.5%
339 1
 
1.5%
ValueCountFrequency (%)
1529 1
1.5%
1456 1
1.5%
621 1
1.5%
516 1
1.5%
397 1
1.5%
383 1
1.5%
343 1
1.5%
339 1
1.5%
100 1
1.5%
72 1
1.5%

제주 세대수(세대)
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.5
Minimum0
Maximum519
Zeros55
Zeros (%)80.9%
Negative0
Negative (%)0.0%
Memory size744.0 B
2024-01-10T05:23:58.903492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile41.25
Maximum519
Range519
Interquartile range (IQR)0

Descriptive statistics

Standard deviation88.367195
Coefficient of variation (CV)4.7766051
Kurtosis30.460498
Mean18.5
Median Absolute Deviation (MAD)0
Skewness5.5806824
Sum1258
Variance7808.7612
MonotonicityNot monotonic
2024-01-10T05:23:59.066225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 55
80.9%
1 3
 
4.4%
519 2
 
2.9%
43 2
 
2.9%
29 1
 
1.5%
2 1
 
1.5%
24 1
 
1.5%
38 1
 
1.5%
4 1
 
1.5%
34 1
 
1.5%
ValueCountFrequency (%)
0 55
80.9%
1 3
 
4.4%
2 1
 
1.5%
4 1
 
1.5%
24 1
 
1.5%
29 1
 
1.5%
34 1
 
1.5%
38 1
 
1.5%
43 2
 
2.9%
519 2
 
2.9%
ValueCountFrequency (%)
519 2
 
2.9%
43 2
 
2.9%
38 1
 
1.5%
34 1
 
1.5%
29 1
 
1.5%
24 1
 
1.5%
4 1
 
1.5%
2 1
 
1.5%
1 3
 
4.4%
0 55
80.9%

제주 이재민수(명)
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.617647
Minimum0
Maximum1290
Zeros54
Zeros (%)79.4%
Negative0
Negative (%)0.0%
Memory size744.0 B
2024-01-10T05:23:59.632605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile91.7
Maximum1290
Range1290
Interquartile range (IQR)0

Descriptive statistics

Standard deviation219.4912
Coefficient of variation (CV)4.919381
Kurtosis30.700107
Mean44.617647
Median Absolute Deviation (MAD)0
Skewness5.6108354
Sum3034
Variance48176.389
MonotonicityNot monotonic
2024-01-10T05:23:59.787371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 54
79.4%
1 4
 
5.9%
1290 2
 
2.9%
98 2
 
2.9%
49 1
 
1.5%
2 1
 
1.5%
43 1
 
1.5%
80 1
 
1.5%
9 1
 
1.5%
71 1
 
1.5%
ValueCountFrequency (%)
0 54
79.4%
1 4
 
5.9%
2 1
 
1.5%
9 1
 
1.5%
43 1
 
1.5%
49 1
 
1.5%
71 1
 
1.5%
80 1
 
1.5%
98 2
 
2.9%
1290 2
 
2.9%
ValueCountFrequency (%)
1290 2
 
2.9%
98 2
 
2.9%
80 1
 
1.5%
71 1
 
1.5%
49 1
 
1.5%
43 1
 
1.5%
9 1
 
1.5%
2 1
 
1.5%
1 4
 
5.9%
0 54
79.4%

Sample

기준년도재해발생일재해명세대수 합계(세대)이재민수 합계(명)서울 세대수(세대)서울 이재민수(명)부산 세대수(세대)부산 이재민수(명)대구 세대수(세대)대구 이재민수(명)인천 세대수(세대)인천 이재민수(명)광주 세대수(세대)광주 이재민수(명)대전 세대수(세대)대전 이재민수(명)울산 세대수(세대)울산 이재민수(명)세종 세대수(세대)세종 이재민수(명)경기 세대수(세대)경기 이재민수(명)강원 세대수(세대)강원 이재민수(명)충북 세대수(세대)충북 이재민수(명)충남 세대수(세대)충남 이재민수(명)전북 세대수(세대)전북 이재민수(명)전남 세대수(세대)전남 이재민수(명)경북 세대수(세대)경북 이재민수(명)경남 세대수(세대)경남 이재민수(명)제주 세대수(세대)제주 이재민수(명)
02016총이재민6920148041743306613125098000017053907002252162622353109113526721674115295191290
120161.17~25대설풍랑강풍140000000000000000000000001400000000
220165.2~5호우강풍풍랑61100000000000000000061100000000000000
320167.1~7호우강풍풍랑881821743131236680000000020466811351422000000
420167.3호우10170011000000000000263500000045000000
520167.29호우1430000000143000000000000000000000000000
620168.26~9.1호우강풍풍랑3782000000000000000000000000000037820000
720169.12지진38518020002300000000486113300000011000000336168821100
820169.17호우강풍3574000000000000000000000000120000347200
9201610.3~6태풍풍랑강풍287763820030260600000000121927740000000000003412825270614565191290
기준년도재해발생일재해명세대수 합계(세대)이재민수 합계(명)서울 세대수(세대)서울 이재민수(명)부산 세대수(세대)부산 이재민수(명)대구 세대수(세대)대구 이재민수(명)인천 세대수(세대)인천 이재민수(명)광주 세대수(세대)광주 이재민수(명)대전 세대수(세대)대전 이재민수(명)울산 세대수(세대)울산 이재민수(명)세종 세대수(세대)세종 이재민수(명)경기 세대수(세대)경기 이재민수(명)강원 세대수(세대)강원 이재민수(명)충북 세대수(세대)충북 이재민수(명)충남 세대수(세대)충남 이재민수(명)전북 세대수(세대)전북 이재민수(명)전남 세대수(세대)전남 이재민수(명)경북 세대수(세대)경북 이재민수(명)경남 세대수(세대)경남 이재민수(명)제주 세대수(세대)제주 이재민수(명)
5820201.7.~10.강풍, 풍랑120012000000000000000000000000000000
5920207.10.호우790056000000000000000000000023000000
6020207.12.~14.호우340000000000000000000000120000111100
6120207.23.~25.호우,강풍,풍랑605699005456040000000000000038611100001120320000
6220207.27.호우183310000000181800000000141400000000150274001400
6320207.28.~8.11.호우928016767335752950041089516805369760024119020592585349211729129319241031183627715295315226351600
6420208.22.~23.호우11213511213500000000000000000000000000000000
6520208.25.~27.태풍230000000000000000000000000023000000
6620208.31.~9.2.호우2236000000000000203300000000230000000000
6720209.1.~9.7.태풍11972203112153981412000043710061034661214231229791728438818531004398