Overview

Dataset statistics

Number of variables56
Number of observations32
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.8 KiB
Average record size in memory507.0 B

Variable types

Text1
Numeric45
Categorical10

Dataset

Description인천광역시 국가보훈대상자 현황 (국가유공자, 보훈보상대상자, 특수임무유공자, 민주유공자)인천시 전체 현황과 각 군구별 본인,유족, 남녀별 인원 현황 데이터
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15065163&srcSe=7661IVAWM27C61E190

Alerts

중구 본인_여 is highly imbalanced (66.2%)Imbalance
동구 본인_여 is highly imbalanced (79.9%)Imbalance
미추홀구 본인_여 is highly imbalanced (63.4%)Imbalance
연수구 본인_여 is highly imbalanced (59.3%)Imbalance
남동구 본인_여 is highly imbalanced (63.4%)Imbalance
부평구 본인_여 is highly imbalanced (63.4%)Imbalance
계양구 본인_여 is highly imbalanced (66.2%)Imbalance
서구 본인_여 is highly imbalanced (63.4%)Imbalance
강화군 본인_여 is highly imbalanced (79.9%)Imbalance
옹진군 본인_여 is highly imbalanced (79.9%)Imbalance
구분 has unique valuesUnique
인천광역시 본인_남 has 13 (40.6%) zerosZeros
인천광역시 본인_여 has 22 (68.8%) zerosZeros
인천광역시 유족_남 has 8 (25.0%) zerosZeros
인천광역시 유족_여 has 4 (12.5%) zerosZeros
중구 합계 has 10 (31.2%) zerosZeros
중구 본인_남 has 18 (56.2%) zerosZeros
중구 유족_남 has 18 (56.2%) zerosZeros
중구 유족_여 has 17 (53.1%) zerosZeros
동구 합계 has 14 (43.8%) zerosZeros
동구 본인_남 has 19 (59.4%) zerosZeros
동구 유족_남 has 24 (75.0%) zerosZeros
동구 유족_여 has 21 (65.6%) zerosZeros
미추홀구 합계 has 8 (25.0%) zerosZeros
미추홀구 본인_남 has 17 (53.1%) zerosZeros
미추홀구 유족_남 has 15 (46.9%) zerosZeros
미추홀구 유족_여 has 14 (43.8%) zerosZeros
연수구 합계 has 6 (18.8%) zerosZeros
연수구 본인_남 has 19 (59.4%) zerosZeros
연수구 유족_남 has 15 (46.9%) zerosZeros
연수구 유족_여 has 11 (34.4%) zerosZeros
남동구 합계 has 2 (6.2%) zerosZeros
남동구 본인_남 has 16 (50.0%) zerosZeros
남동구 유족_남 has 15 (46.9%) zerosZeros
남동구 유족_여 has 9 (28.1%) zerosZeros
부평구 합계 has 3 (9.4%) zerosZeros
부평구 본인_남 has 17 (53.1%) zerosZeros
부평구 유족_남 has 16 (50.0%) zerosZeros
부평구 유족_여 has 10 (31.2%) zerosZeros
계양구 합계 has 7 (21.9%) zerosZeros
계양구 본인_남 has 16 (50.0%) zerosZeros
계양구 유족_남 has 18 (56.2%) zerosZeros
계양구 유족_여 has 17 (53.1%) zerosZeros
서구 합계 has 4 (12.5%) zerosZeros
서구 본인_남 has 15 (46.9%) zerosZeros
서구 유족_남 has 15 (46.9%) zerosZeros
서구 유족_여 has 10 (31.2%) zerosZeros
강화군 합계 has 13 (40.6%) zerosZeros
강화군 본인_남 has 21 (65.6%) zerosZeros
강화군 유족_남 has 20 (62.5%) zerosZeros
강화군 유족_여 has 17 (53.1%) zerosZeros
옹진군 합계 has 17 (53.1%) zerosZeros
옹진군 본인_남 has 22 (68.8%) zerosZeros
옹진군 유족_남 has 25 (78.1%) zerosZeros
옹진군 유족_여 has 22 (68.8%) zerosZeros

Reproduction

Analysis started2024-04-20 22:07:24.908756
Analysis finished2024-04-20 22:07:25.632093
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size384.0 B
2024-04-21T07:07:26.199593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length22
Mean length15.4375
Min length10

Characters and Unicode

Total characters494
Distinct characters72
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row국가유공자_독립유공자(순국선열)
2nd row국가유공자_독립유공자(애국지사)
3rd row국가유공자_전몰군경(전몰군경유족)
4th row국가유공자_전상군경
5th row국가유공자_순직군경(순직군경유족)
ValueCountFrequency (%)
국가유공자_독립유공자(순국선열 1
 
2.9%
보훈보상대상자_재해부상군경 1
 
2.9%
국가유공자_6·18자유상이자 1
 
2.9%
국가유공자_지원공상공무원 1
 
2.9%
국가유공자_지원공상군경 1
 
2.9%
국가유공자_지원순직공무원 1
 
2.9%
국가유공자_지원순직군경 1
 
2.9%
보훈보상대상자_재해사망군경(재해사망군경유족 1
 
2.9%
보훈보상대상자_재해사망공무원(재해사망공무원유족 1
 
2.9%
국가유공자_순직공무원 1
 
2.9%
Other values (25) 25
71.4%
2024-04-21T07:07:27.300189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
50
 
10.1%
45
 
9.1%
39
 
7.9%
_ 32
 
6.5%
25
 
5.1%
22
 
4.5%
20
 
4.0%
14
 
2.8%
12
 
2.4%
11
 
2.2%
Other values (62) 224
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 405
82.0%
Connector Punctuation 32
 
6.5%
Decimal Number 28
 
5.7%
Other Punctuation 10
 
2.0%
Close Punctuation 8
 
1.6%
Open Punctuation 8
 
1.6%
Space Separator 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
50
 
12.3%
45
 
11.1%
39
 
9.6%
25
 
6.2%
22
 
5.4%
20
 
4.9%
14
 
3.5%
12
 
3.0%
11
 
2.7%
11
 
2.7%
Other values (49) 156
38.5%
Decimal Number
ValueCountFrequency (%)
1 8
28.6%
8 4
14.3%
5 4
14.3%
9 4
14.3%
4 4
14.3%
2 2
 
7.1%
6 2
 
7.1%
Other Punctuation
ValueCountFrequency (%)
· 9
90.0%
. 1
 
10.0%
Connector Punctuation
ValueCountFrequency (%)
_ 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 405
82.0%
Common 89
 
18.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
50
 
12.3%
45
 
11.1%
39
 
9.6%
25
 
6.2%
22
 
5.4%
20
 
4.9%
14
 
3.5%
12
 
3.0%
11
 
2.7%
11
 
2.7%
Other values (49) 156
38.5%
Common
ValueCountFrequency (%)
_ 32
36.0%
· 9
 
10.1%
) 8
 
9.0%
( 8
 
9.0%
1 8
 
9.0%
8 4
 
4.5%
5 4
 
4.5%
9 4
 
4.5%
4 4
 
4.5%
3
 
3.4%
Other values (3) 5
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 405
82.0%
ASCII 80
 
16.2%
None 9
 
1.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
50
 
12.3%
45
 
11.1%
39
 
9.6%
25
 
6.2%
22
 
5.4%
20
 
4.9%
14
 
3.5%
12
 
3.0%
11
 
2.7%
11
 
2.7%
Other values (49) 156
38.5%
ASCII
ValueCountFrequency (%)
_ 32
40.0%
) 8
 
10.0%
( 8
 
10.0%
1 8
 
10.0%
8 4
 
5.0%
5 4
 
5.0%
9 4
 
5.0%
4 4
 
5.0%
3
 
3.8%
2 2
 
2.5%
Other values (2) 3
 
3.8%
None
ValueCountFrequency (%)
· 9
100.0%

인천광역시 합계
Real number (ℝ)

Distinct30
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1108.3438
Minimum1
Maximum13472
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-04-21T07:07:27.532822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18.75
median52
Q3419
95-th percentile5508.5
Maximum13472
Range13471
Interquartile range (IQR)410.25

Descriptive statistics

Standard deviation2713.5559
Coefficient of variation (CV)2.4482981
Kurtosis14.479027
Mean1108.3438
Median Absolute Deviation (MAD)50
Skewness3.6169055
Sum35467
Variance7363385.7
MonotonicityNot monotonic
2024-04-21T07:07:27.821341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
2 2
 
6.2%
8 2
 
6.2%
39 1
 
3.1%
202 1
 
3.1%
43 1
 
3.1%
54 1
 
3.1%
306 1
 
3.1%
75 1
 
3.1%
3 1
 
3.1%
4 1
 
3.1%
Other values (20) 20
62.5%
ValueCountFrequency (%)
1 1
3.1%
2 2
6.2%
3 1
3.1%
4 1
3.1%
6 1
3.1%
8 2
6.2%
9 1
3.1%
10 1
3.1%
15 1
3.1%
27 1
3.1%
ValueCountFrequency (%)
13472 1
3.1%
6878 1
3.1%
4388 1
3.1%
3205 1
3.1%
2036 1
3.1%
1480 1
3.1%
1428 1
3.1%
650 1
3.1%
342 1
3.1%
306 1
3.1%

인천광역시 본인_남
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)59.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean726.125
Minimum0
Maximum13360
Zeros13
Zeros (%)40.6%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-04-21T07:07:28.048604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q3121.25
95-th percentile2505.1
Maximum13360
Range13360
Interquartile range (IQR)121.25

Descriptive statistics

Standard deviation2413.9171
Coefficient of variation (CV)3.3243823
Kurtosis26.099831
Mean726.125
Median Absolute Deviation (MAD)4
Skewness4.9450366
Sum23236
Variance5826995.8
MonotonicityNot monotonic
2024-04-21T07:07:28.277885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 13
40.6%
4 2
 
6.2%
9 1
 
3.1%
37 1
 
3.1%
42 1
 
3.1%
167 1
 
3.1%
66 1
 
3.1%
1 1
 
3.1%
279 1
 
3.1%
105 1
 
3.1%
Other values (9) 9
28.1%
ValueCountFrequency (%)
0 13
40.6%
1 1
 
3.1%
3 1
 
3.1%
4 2
 
6.2%
6 1
 
3.1%
9 1
 
3.1%
37 1
 
3.1%
42 1
 
3.1%
66 1
 
3.1%
105 1
 
3.1%
ValueCountFrequency (%)
13360 1
3.1%
2581 1
3.1%
2443 1
3.1%
2036 1
3.1%
1253 1
3.1%
734 1
3.1%
279 1
3.1%
167 1
3.1%
106 1
3.1%
105 1
3.1%

인천광역시 본인_여
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.5
Minimum0
Maximum112
Zeros22
Zeros (%)68.8%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-04-21T07:07:28.479699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.25
95-th percentile9.5
Maximum112
Range112
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation19.81202
Coefficient of variation (CV)4.4026711
Kurtosis30.630931
Mean4.5
Median Absolute Deviation (MAD)0
Skewness5.4922794
Sum144
Variance392.51613
MonotonicityNot monotonic
2024-04-21T07:07:28.661724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 22
68.8%
2 5
 
15.6%
1 2
 
6.2%
15 1
 
3.1%
112 1
 
3.1%
5 1
 
3.1%
ValueCountFrequency (%)
0 22
68.8%
1 2
 
6.2%
2 5
 
15.6%
5 1
 
3.1%
15 1
 
3.1%
112 1
 
3.1%
ValueCountFrequency (%)
112 1
 
3.1%
15 1
 
3.1%
5 1
 
3.1%
2 5
 
15.6%
1 2
 
6.2%
0 22
68.8%

인천광역시 유족_남
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)56.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean136.40625
Minimum0
Maximum1438
Zeros8
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-04-21T07:07:28.857413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.75
median2
Q339
95-th percentile1019.2
Maximum1438
Range1438
Interquartile range (IQR)38.25

Descriptive statistics

Standard deviation359.92552
Coefficient of variation (CV)2.6386292
Kurtosis9.2576448
Mean136.40625
Median Absolute Deviation (MAD)2
Skewness3.1560875
Sum4365
Variance129546.38
MonotonicityNot monotonic
2024-04-21T07:07:29.065058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 8
25.0%
1 5
15.6%
2 4
12.5%
42 1
 
3.1%
7 1
 
3.1%
22 1
 
3.1%
9 1
 
3.1%
28 1
 
3.1%
69 1
 
3.1%
23 1
 
3.1%
Other values (8) 8
25.0%
ValueCountFrequency (%)
0 8
25.0%
1 5
15.6%
2 4
12.5%
7 1
 
3.1%
9 1
 
3.1%
13 1
 
3.1%
22 1
 
3.1%
23 1
 
3.1%
28 1
 
3.1%
38 1
 
3.1%
ValueCountFrequency (%)
1438 1
3.1%
1380 1
3.1%
724 1
3.1%
198 1
3.1%
196 1
3.1%
165 1
3.1%
69 1
3.1%
42 1
3.1%
38 1
3.1%
28 1
3.1%

인천광역시 유족_여
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)71.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean241.3125
Minimum0
Maximum2915
Zeros4
Zeros (%)12.5%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-04-21T07:07:29.279838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.75
median8
Q3107.75
95-th percentile1384.4
Maximum2915
Range2915
Interquartile range (IQR)104

Descriptive statistics

Standard deviation640.35567
Coefficient of variation (CV)2.6536365
Kurtosis12.15751
Mean241.3125
Median Absolute Deviation (MAD)8
Skewness3.4949339
Sum7722
Variance410055.38
MonotonicityNot monotonic
2024-04-21T07:07:29.680004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 4
 
12.5%
1 3
 
9.4%
4 3
 
9.4%
8 2
 
6.2%
7 2
 
6.2%
16 1
 
3.1%
20 1
 
3.1%
95 1
 
3.1%
3 1
 
3.1%
9 1
 
3.1%
Other values (13) 13
40.6%
ValueCountFrequency (%)
0 4
12.5%
1 3
9.4%
3 1
 
3.1%
4 3
9.4%
5 1
 
3.1%
6 1
 
3.1%
7 2
6.2%
8 2
6.2%
9 1
 
3.1%
14 1
 
3.1%
ValueCountFrequency (%)
2915 1
3.1%
2216 1
3.1%
704 1
3.1%
595 1
3.1%
452 1
3.1%
216 1
3.1%
174 1
3.1%
146 1
3.1%
95 1
3.1%
63 1
3.1%

중구 합계
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)56.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56.875
Minimum0
Maximum694
Zeros10
Zeros (%)31.2%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-04-21T07:07:29.879009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q326.5
95-th percentile259.5
Maximum694
Range694
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation138.15694
Coefficient of variation (CV)2.4291329
Kurtosis15.18632
Mean56.875
Median Absolute Deviation (MAD)4
Skewness3.6872059
Sum1820
Variance19087.339
MonotonicityNot monotonic
2024-04-21T07:07:30.075807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 10
31.2%
1 4
 
12.5%
4 2
 
6.2%
7 2
 
6.2%
107 1
 
3.1%
24 1
 
3.1%
6 1
 
3.1%
15 1
 
3.1%
3 1
 
3.1%
10 1
 
3.1%
Other values (8) 8
25.0%
ValueCountFrequency (%)
0 10
31.2%
1 4
 
12.5%
3 1
 
3.1%
4 2
 
6.2%
6 1
 
3.1%
7 2
 
6.2%
10 1
 
3.1%
15 1
 
3.1%
24 1
 
3.1%
25 1
 
3.1%
ValueCountFrequency (%)
694 1
3.1%
342 1
3.1%
192 1
3.1%
178 1
3.1%
107 1
3.1%
86 1
3.1%
81 1
3.1%
31 1
3.1%
25 1
3.1%
24 1
3.1%

중구 본인_남
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)40.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.34375
Minimum0
Maximum681
Zeros18
Zeros (%)56.2%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-04-21T07:07:30.273247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q39
95-th percentile140.3
Maximum681
Range681
Interquartile range (IQR)9

Descriptive statistics

Standard deviation123.66359
Coefficient of variation (CV)3.2251304
Kurtosis25.294443
Mean38.34375
Median Absolute Deviation (MAD)0
Skewness4.8518576
Sum1227
Variance15292.684
MonotonicityNot monotonic
2024-04-21T07:07:30.461929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 18
56.2%
4 2
 
6.2%
3 2
 
6.2%
148 1
 
3.1%
134 1
 
3.1%
39 1
 
3.1%
62 1
 
3.1%
681 1
 
3.1%
107 1
 
3.1%
1 1
 
3.1%
Other values (3) 3
 
9.4%
ValueCountFrequency (%)
0 18
56.2%
1 1
 
3.1%
3 2
 
6.2%
4 2
 
6.2%
7 1
 
3.1%
15 1
 
3.1%
19 1
 
3.1%
39 1
 
3.1%
62 1
 
3.1%
107 1
 
3.1%
ValueCountFrequency (%)
681 1
3.1%
148 1
3.1%
134 1
3.1%
107 1
3.1%
62 1
3.1%
39 1
3.1%
19 1
3.1%
15 1
3.1%
7 1
3.1%
4 2
6.2%

중구 본인_여
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size384.0 B
0
29 
1
 
2
13
 
1

Length

Max length2
Median length1
Mean length1.03125
Min length1

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 29
90.6%
1 2
 
6.2%
13 1
 
3.1%

Length

2024-04-21T07:07:30.684821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T07:07:30.860677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
90.6%
1 2
 
6.2%
13 1
 
3.1%

중구 유족_남
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)34.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.90625
Minimum0
Maximum52
Zeros18
Zeros (%)56.2%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-04-21T07:07:31.022186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.25
95-th percentile43.7
Maximum52
Range52
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation13.831613
Coefficient of variation (CV)2.3418603
Kurtosis6.2234151
Mean5.90625
Median Absolute Deviation (MAD)0
Skewness2.6923938
Sum189
Variance191.31351
MonotonicityNot monotonic
2024-04-21T07:07:31.212033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 18
56.2%
1 5
 
15.6%
15 1
 
3.1%
41 1
 
3.1%
47 1
 
3.1%
8 1
 
3.1%
11 1
 
3.1%
52 1
 
3.1%
5 1
 
3.1%
3 1
 
3.1%
ValueCountFrequency (%)
0 18
56.2%
1 5
 
15.6%
2 1
 
3.1%
3 1
 
3.1%
5 1
 
3.1%
8 1
 
3.1%
11 1
 
3.1%
15 1
 
3.1%
41 1
 
3.1%
47 1
 
3.1%
ValueCountFrequency (%)
52 1
 
3.1%
47 1
 
3.1%
41 1
 
3.1%
15 1
 
3.1%
11 1
 
3.1%
8 1
 
3.1%
5 1
 
3.1%
3 1
 
3.1%
2 1
 
3.1%
1 5
15.6%

중구 유족_여
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.15625
Minimum0
Maximum146
Zeros17
Zeros (%)53.1%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-04-21T07:07:31.395594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile70.2
Maximum146
Range146
Interquartile range (IQR)4

Descriptive statistics

Standard deviation31.508431
Coefficient of variation (CV)2.5919532
Kurtosis11.98256
Mean12.15625
Median Absolute Deviation (MAD)0
Skewness3.4162475
Sum389
Variance992.78125
MonotonicityNot monotonic
2024-04-21T07:07:31.586303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 17
53.1%
1 4
 
12.5%
4 2
 
6.2%
10 1
 
3.1%
45 1
 
3.1%
146 1
 
3.1%
23 1
 
3.1%
33 1
 
3.1%
101 1
 
3.1%
14 1
 
3.1%
Other values (2) 2
 
6.2%
ValueCountFrequency (%)
0 17
53.1%
1 4
 
12.5%
2 1
 
3.1%
3 1
 
3.1%
4 2
 
6.2%
10 1
 
3.1%
14 1
 
3.1%
23 1
 
3.1%
33 1
 
3.1%
45 1
 
3.1%
ValueCountFrequency (%)
146 1
3.1%
101 1
3.1%
45 1
3.1%
33 1
3.1%
23 1
3.1%
14 1
3.1%
10 1
3.1%
4 2
6.2%
3 1
3.1%
2 1
3.1%

동구 합계
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)53.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.28125
Minimum0
Maximum416
Zeros14
Zeros (%)43.8%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-04-21T07:07:31.794495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.5
Q312.25
95-th percentile157.5
Maximum416
Range416
Interquartile range (IQR)12.25

Descriptive statistics

Standard deviation82.121953
Coefficient of variation (CV)2.6252772
Kurtosis16.271338
Mean31.28125
Median Absolute Deviation (MAD)2.5
Skewness3.8389753
Sum1001
Variance6744.0151
MonotonicityNot monotonic
2024-04-21T07:07:31.984865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 14
43.8%
3 3
 
9.4%
6 1
 
3.1%
11 1
 
3.1%
4 1
 
3.1%
7 1
 
3.1%
1 1
 
3.1%
2 1
 
3.1%
5 1
 
3.1%
83 1
 
3.1%
Other values (7) 7
21.9%
ValueCountFrequency (%)
0 14
43.8%
1 1
 
3.1%
2 1
 
3.1%
3 3
 
9.4%
4 1
 
3.1%
5 1
 
3.1%
6 1
 
3.1%
7 1
 
3.1%
11 1
 
3.1%
16 1
 
3.1%
ValueCountFrequency (%)
416 1
3.1%
196 1
3.1%
126 1
3.1%
83 1
3.1%
60 1
3.1%
41 1
3.1%
18 1
3.1%
16 1
3.1%
11 1
3.1%
7 1
3.1%

동구 본인_남
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.9375
Minimum0
Maximum412
Zeros19
Zeros (%)59.4%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-04-21T07:07:32.169025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile76.4
Maximum412
Range412
Interquartile range (IQR)4

Descriptive statistics

Standard deviation74.165437
Coefficient of variation (CV)3.5422298
Kurtosis26.98613
Mean20.9375
Median Absolute Deviation (MAD)0
Skewness5.0583186
Sum670
Variance5500.5121
MonotonicityNot monotonic
2024-04-21T07:07:32.350856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 19
59.4%
3 2
 
6.2%
4 2
 
6.2%
71 1
 
3.1%
46 1
 
3.1%
23 1
 
3.1%
11 1
 
3.1%
412 1
 
3.1%
83 1
 
3.1%
2 1
 
3.1%
Other values (2) 2
 
6.2%
ValueCountFrequency (%)
0 19
59.4%
1 1
 
3.1%
2 1
 
3.1%
3 2
 
6.2%
4 2
 
6.2%
7 1
 
3.1%
11 1
 
3.1%
23 1
 
3.1%
46 1
 
3.1%
71 1
 
3.1%
ValueCountFrequency (%)
412 1
3.1%
83 1
3.1%
71 1
3.1%
46 1
3.1%
23 1
3.1%
11 1
3.1%
7 1
3.1%
4 2
6.2%
3 2
6.2%
2 1
3.1%

동구 본인_여
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size384.0 B
0
31 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 31
96.9%
4 1
 
3.1%

Length

2024-04-21T07:07:32.549126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T07:07:32.716536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 31
96.9%
4 1
 
3.1%

동구 유족_남
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)21.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.15625
Minimum0
Maximum33
Zeros24
Zeros (%)75.0%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-04-21T07:07:32.858762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.25
95-th percentile25.4
Maximum33
Range33
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation8.5349731
Coefficient of variation (CV)2.7041499
Kurtosis8.2586524
Mean3.15625
Median Absolute Deviation (MAD)0
Skewness3.0225064
Sum101
Variance72.845766
MonotonicityNot monotonic
2024-04-21T07:07:33.036916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 24
75.0%
3 3
 
9.4%
1 1
 
3.1%
20 1
 
3.1%
33 1
 
3.1%
6 1
 
3.1%
32 1
 
3.1%
ValueCountFrequency (%)
0 24
75.0%
1 1
 
3.1%
3 3
 
9.4%
6 1
 
3.1%
20 1
 
3.1%
32 1
 
3.1%
33 1
 
3.1%
ValueCountFrequency (%)
33 1
 
3.1%
32 1
 
3.1%
20 1
 
3.1%
6 1
 
3.1%
3 3
 
9.4%
1 1
 
3.1%
0 24
75.0%

동구 유족_여
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.0625
Minimum0
Maximum92
Zeros21
Zeros (%)65.6%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-04-21T07:07:33.219535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.5
95-th percentile43.5
Maximum92
Range92
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation20.23242
Coefficient of variation (CV)2.8647674
Kurtosis12.774586
Mean7.0625
Median Absolute Deviation (MAD)0
Skewness3.61076
Sum226
Variance409.35081
MonotonicityNot monotonic
2024-04-21T07:07:33.403482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 21
65.6%
5 2
 
6.2%
2 2
 
6.2%
21 1
 
3.1%
92 1
 
3.1%
12 1
 
3.1%
11 1
 
3.1%
71 1
 
3.1%
1 1
 
3.1%
4 1
 
3.1%
ValueCountFrequency (%)
0 21
65.6%
1 1
 
3.1%
2 2
 
6.2%
4 1
 
3.1%
5 2
 
6.2%
11 1
 
3.1%
12 1
 
3.1%
21 1
 
3.1%
71 1
 
3.1%
92 1
 
3.1%
ValueCountFrequency (%)
92 1
 
3.1%
71 1
 
3.1%
21 1
 
3.1%
12 1
 
3.1%
11 1
 
3.1%
5 2
 
6.2%
4 1
 
3.1%
2 2
 
6.2%
1 1
 
3.1%
0 21
65.6%

미추홀구 합계
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean176.34375
Minimum0
Maximum2246
Zeros8
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-04-21T07:07:33.591960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.75
median7
Q373.25
95-th percentile896.6
Maximum2246
Range2246
Interquartile range (IQR)72.5

Descriptive statistics

Standard deviation450.90523
Coefficient of variation (CV)2.5569674
Kurtosis15.092013
Mean176.34375
Median Absolute Deviation (MAD)7
Skewness3.7167927
Sum5643
Variance203315.52
MonotonicityNot monotonic
2024-04-21T07:07:33.797629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 8
25.0%
1 2
 
6.2%
4 2
 
6.2%
2 2
 
6.2%
6 1
 
3.1%
50 1
 
3.1%
16 1
 
3.1%
44 1
 
3.1%
14 1
 
3.1%
8 1
 
3.1%
Other values (12) 12
37.5%
ValueCountFrequency (%)
0 8
25.0%
1 2
 
6.2%
2 2
 
6.2%
4 2
 
6.2%
5 1
 
3.1%
6 1
 
3.1%
8 1
 
3.1%
14 1
 
3.1%
16 1
 
3.1%
32 1
 
3.1%
ValueCountFrequency (%)
2246 1
3.1%
1176 1
3.1%
668 1
3.1%
467 1
3.1%
348 1
3.1%
224 1
3.1%
106 1
3.1%
104 1
3.1%
63 1
3.1%
52 1
3.1%

미추홀구 본인_남
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean114.875
Minimum0
Maximum2221
Zeros17
Zeros (%)53.1%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-04-21T07:07:33.998334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q317.5
95-th percentile399.3
Maximum2221
Range2221
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation400.68439
Coefficient of variation (CV)3.4880034
Kurtosis26.610885
Mean114.875
Median Absolute Deviation (MAD)0
Skewness5.0122012
Sum3676
Variance160547.98
MonotonicityNot monotonic
2024-04-21T07:07:34.203350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 17
53.1%
1 1
 
3.1%
4 1
 
3.1%
3 1
 
3.1%
22 1
 
3.1%
11 1
 
3.1%
40 1
 
3.1%
14 1
 
3.1%
2 1
 
3.1%
462 1
 
3.1%
Other values (6) 6
 
18.8%
ValueCountFrequency (%)
0 17
53.1%
1 1
 
3.1%
2 1
 
3.1%
3 1
 
3.1%
4 1
 
3.1%
11 1
 
3.1%
14 1
 
3.1%
16 1
 
3.1%
22 1
 
3.1%
40 1
 
3.1%
ValueCountFrequency (%)
2221 1
3.1%
462 1
3.1%
348 1
3.1%
328 1
3.1%
122 1
3.1%
82 1
3.1%
40 1
3.1%
22 1
3.1%
16 1
3.1%
14 1
3.1%

미추홀구 본인_여
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size384.0 B
0
28 
1
 
2
25
 
1
2
 
1

Length

Max length2
Median length1
Mean length1.03125
Min length1

Unique

Unique2 ?
Unique (%)6.2%

Sample

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

Common Values

ValueCountFrequency (%)
0 28
87.5%
1 2
 
6.2%
25 1
 
3.1%
2 1
 
3.1%

Length

2024-04-21T07:07:34.409508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T07:07:34.593307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
87.5%
1 2
 
6.2%
25 1
 
3.1%
2 1
 
3.1%

미추홀구 유족_남
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)40.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.25
Minimum0
Maximum230
Zeros15
Zeros (%)46.9%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-04-21T07:07:34.756016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q38.25
95-th percentile151.35
Maximum230
Range230
Interquartile range (IQR)8.25

Descriptive statistics

Standard deviation55.704288
Coefficient of variation (CV)2.6213783
Kurtosis9.5724472
Mean21.25
Median Absolute Deviation (MAD)1
Skewness3.1835301
Sum680
Variance3102.9677
MonotonicityNot monotonic
2024-04-21T07:07:34.938335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 15
46.9%
1 5
 
15.6%
3 2
 
6.2%
36 1
 
3.1%
105 1
 
3.1%
230 1
 
3.1%
34 1
 
3.1%
27 1
 
3.1%
208 1
 
3.1%
9 1
 
3.1%
Other values (3) 3
 
9.4%
ValueCountFrequency (%)
0 15
46.9%
1 5
 
15.6%
2 1
 
3.1%
3 2
 
6.2%
8 1
 
3.1%
9 1
 
3.1%
10 1
 
3.1%
27 1
 
3.1%
34 1
 
3.1%
36 1
 
3.1%
ValueCountFrequency (%)
230 1
3.1%
208 1
3.1%
105 1
3.1%
36 1
3.1%
34 1
3.1%
27 1
3.1%
10 1
3.1%
9 1
3.1%
8 1
3.1%
3 2
6.2%

미추홀구 유족_여
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)46.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.3125
Minimum0
Maximum484
Zeros14
Zeros (%)43.8%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-04-21T07:07:35.121886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q315.75
95-th percentile217.55
Maximum484
Range484
Interquartile range (IQR)15.75

Descriptive statistics

Standard deviation103.80734
Coefficient of variation (CV)2.6405683
Kurtosis12.595253
Mean39.3125
Median Absolute Deviation (MAD)1
Skewness3.5128058
Sum1258
Variance10775.964
MonotonicityNot monotonic
2024-04-21T07:07:35.320178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 14
43.8%
1 3
 
9.4%
2 2
 
6.2%
5 2
 
6.2%
27 1
 
3.1%
119 1
 
3.1%
484 1
 
3.1%
70 1
 
3.1%
112 1
 
3.1%
338 1
 
3.1%
Other values (5) 5
 
15.6%
ValueCountFrequency (%)
0 14
43.8%
1 3
 
9.4%
2 2
 
6.2%
3 1
 
3.1%
5 2
 
6.2%
11 1
 
3.1%
15 1
 
3.1%
18 1
 
3.1%
27 1
 
3.1%
44 1
 
3.1%
ValueCountFrequency (%)
484 1
3.1%
338 1
3.1%
119 1
3.1%
112 1
3.1%
70 1
3.1%
44 1
3.1%
27 1
3.1%
18 1
3.1%
15 1
3.1%
11 1
3.1%

연수구 합계
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112.25
Minimum0
Maximum1180
Zeros6
Zeros (%)18.8%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-04-21T07:07:35.511403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median9.5
Q350
95-th percentile604.35
Maximum1180
Range1180
Interquartile range (IQR)49

Descriptive statistics

Standard deviation253.87284
Coefficient of variation (CV)2.2616734
Kurtosis10.353636
Mean112.25
Median Absolute Deviation (MAD)9.5
Skewness3.1156714
Sum3592
Variance64451.419
MonotonicityNot monotonic
2024-04-21T07:07:35.718173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 6
18.8%
1 3
 
9.4%
2 2
 
6.2%
7 2
 
6.2%
36 2
 
6.2%
11 1
 
3.1%
4 1
 
3.1%
46 1
 
3.1%
12 1
 
3.1%
13 1
 
3.1%
Other values (12) 12
37.5%
ValueCountFrequency (%)
0 6
18.8%
1 3
9.4%
2 2
 
6.2%
4 1
 
3.1%
6 1
 
3.1%
7 2
 
6.2%
8 1
 
3.1%
11 1
 
3.1%
12 1
 
3.1%
13 1
 
3.1%
ValueCountFrequency (%)
1180 1
3.1%
683 1
3.1%
540 1
3.1%
409 1
3.1%
190 1
3.1%
139 1
3.1%
128 1
3.1%
62 1
3.1%
46 1
3.1%
41 1
3.1%

연수구 본인_남
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)40.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.5625
Minimum0
Maximum1172
Zeros19
Zeros (%)59.4%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-04-21T07:07:35.909921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q314.5
95-th percentile285.05
Maximum1172
Range1172
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation215.7781
Coefficient of variation (CV)3.1019314
Kurtosis23.473811
Mean69.5625
Median Absolute Deviation (MAD)0
Skewness4.6461331
Sum2226
Variance46560.19
MonotonicityNot monotonic
2024-04-21T07:07:36.102296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 19
59.4%
12 2
 
6.2%
254 1
 
3.1%
323 1
 
3.1%
76 1
 
3.1%
109 1
 
3.1%
1172 1
 
3.1%
190 1
 
3.1%
32 1
 
3.1%
11 1
 
3.1%
Other values (3) 3
 
9.4%
ValueCountFrequency (%)
0 19
59.4%
3 1
 
3.1%
10 1
 
3.1%
11 1
 
3.1%
12 2
 
6.2%
22 1
 
3.1%
32 1
 
3.1%
76 1
 
3.1%
109 1
 
3.1%
190 1
 
3.1%
ValueCountFrequency (%)
1172 1
3.1%
323 1
3.1%
254 1
3.1%
190 1
3.1%
109 1
3.1%
76 1
3.1%
32 1
3.1%
22 1
3.1%
12 2
6.2%
11 1
3.1%

연수구 본인_여
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size384.0 B
0
28 
1
8
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 28
87.5%
1 3
 
9.4%
8 1
 
3.1%

Length

2024-04-21T07:07:36.309824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T07:07:36.484052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
87.5%
1 3
 
9.4%
8 1
 
3.1%

연수구 유족_남
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)40.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.53125
Minimum0
Maximum200
Zeros15
Zeros (%)46.9%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-04-21T07:07:36.647060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36.5
95-th percentile119.65
Maximum200
Range200
Interquartile range (IQR)6.5

Descriptive statistics

Standard deviation46.774672
Coefficient of variation (CV)2.668074
Kurtosis10.643869
Mean17.53125
Median Absolute Deviation (MAD)1
Skewness3.3361894
Sum561
Variance2187.87
MonotonicityNot monotonic
2024-04-21T07:07:36.856732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 15
46.9%
1 3
 
9.4%
6 2
 
6.2%
3 2
 
6.2%
2 2
 
6.2%
30 1
 
3.1%
76 1
 
3.1%
173 1
 
3.1%
18 1
 
3.1%
22 1
 
3.1%
Other values (3) 3
 
9.4%
ValueCountFrequency (%)
0 15
46.9%
1 3
 
9.4%
2 2
 
6.2%
3 2
 
6.2%
6 2
 
6.2%
8 1
 
3.1%
9 1
 
3.1%
18 1
 
3.1%
22 1
 
3.1%
30 1
 
3.1%
ValueCountFrequency (%)
200 1
3.1%
173 1
3.1%
76 1
3.1%
30 1
3.1%
22 1
3.1%
18 1
3.1%
9 1
3.1%
8 1
3.1%
6 2
6.2%
3 2
6.2%

연수구 유족_여
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)53.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.8125
Minimum0
Maximum264
Zeros11
Zeros (%)34.4%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-04-21T07:07:37.091755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q312
95-th percentile150.4
Maximum264
Range264
Interquartile range (IQR)12

Descriptive statistics

Standard deviation64.011812
Coefficient of variation (CV)2.5798211
Kurtosis11.008707
Mean24.8125
Median Absolute Deviation (MAD)1
Skewness3.3924213
Sum794
Variance4097.5121
MonotonicityNot monotonic
2024-04-21T07:07:37.288522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 11
34.4%
1 6
18.8%
11 1
 
3.1%
15 1
 
3.1%
3 1
 
3.1%
5 1
 
3.1%
6 1
 
3.1%
8 1
 
3.1%
27 1
 
3.1%
2 1
 
3.1%
Other values (7) 7
21.9%
ValueCountFrequency (%)
0 11
34.4%
1 6
18.8%
2 1
 
3.1%
3 1
 
3.1%
4 1
 
3.1%
5 1
 
3.1%
6 1
 
3.1%
8 1
 
3.1%
11 1
 
3.1%
15 1
 
3.1%
ValueCountFrequency (%)
264 1
3.1%
256 1
3.1%
64 1
3.1%
63 1
3.1%
44 1
3.1%
27 1
3.1%
16 1
3.1%
15 1
3.1%
11 1
3.1%
8 1
3.1%

남동구 합계
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean195.6875
Minimum0
Maximum2202
Zeros2
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-04-21T07:07:37.488775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11.75
median10.5
Q376.5
95-th percentile976
Maximum2202
Range2202
Interquartile range (IQR)74.75

Descriptive statistics

Standard deviation456.77491
Coefficient of variation (CV)2.3342059
Kurtosis12.475605
Mean195.6875
Median Absolute Deviation (MAD)10
Skewness3.368863
Sum6262
Variance208643.32
MonotonicityNot monotonic
2024-04-21T07:07:37.684908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 6
18.8%
2 3
 
9.4%
0 2
 
6.2%
42 1
 
3.1%
7 1
 
3.1%
12 1
 
3.1%
64 1
 
3.1%
10 1
 
3.1%
47 1
 
3.1%
11 1
 
3.1%
Other values (14) 14
43.8%
ValueCountFrequency (%)
0 2
 
6.2%
1 6
18.8%
2 3
9.4%
4 1
 
3.1%
5 1
 
3.1%
6 1
 
3.1%
7 1
 
3.1%
10 1
 
3.1%
11 1
 
3.1%
12 1
 
3.1%
ValueCountFrequency (%)
2202 1
3.1%
1240 1
3.1%
760 1
3.1%
619 1
3.1%
366 1
3.1%
336 1
3.1%
265 1
3.1%
114 1
3.1%
64 1
3.1%
60 1
3.1%

남동구 본인_남
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)46.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.3125
Minimum0
Maximum2187
Zeros16
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-04-21T07:07:37.875744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q328.25
95-th percentile470.65
Maximum2187
Range2187
Interquartile range (IQR)28.25

Descriptive statistics

Standard deviation399.64746
Coefficient of variation (CV)3.1391062
Kurtosis24.368324
Mean127.3125
Median Absolute Deviation (MAD)0.5
Skewness4.7383805
Sum4074
Variance159718.09
MonotonicityNot monotonic
2024-04-21T07:07:38.056882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 16
50.0%
1 2
 
6.2%
10 2
 
6.2%
463 1
 
3.1%
480 1
 
3.1%
129 1
 
3.1%
295 1
 
3.1%
2187 1
 
3.1%
366 1
 
3.1%
26 1
 
3.1%
Other values (5) 5
 
15.6%
ValueCountFrequency (%)
0 16
50.0%
1 2
 
6.2%
2 1
 
3.1%
5 1
 
3.1%
10 2
 
6.2%
18 1
 
3.1%
26 1
 
3.1%
35 1
 
3.1%
46 1
 
3.1%
129 1
 
3.1%
ValueCountFrequency (%)
2187 1
3.1%
480 1
3.1%
463 1
3.1%
366 1
3.1%
295 1
3.1%
129 1
3.1%
46 1
3.1%
35 1
3.1%
26 1
3.1%
18 1
3.1%

남동구 본인_여
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size384.0 B
0
28 
1
 
2
8
 
1
15
 
1

Length

Max length2
Median length1
Mean length1.03125
Min length1

Unique

Unique2 ?
Unique (%)6.2%

Sample

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

Common Values

ValueCountFrequency (%)
0 28
87.5%
1 2
 
6.2%
8 1
 
3.1%
15 1
 
3.1%

Length

2024-04-21T07:07:38.478371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T07:07:38.658433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
87.5%
1 2
 
6.2%
8 1
 
3.1%
15 1
 
3.1%

남동구 유족_남
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.75
Minimum0
Maximum230
Zeros15
Zeros (%)46.9%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-04-21T07:07:38.821131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile178.4
Maximum230
Range230
Interquartile range (IQR)5

Descriptive statistics

Standard deviation59.856279
Coefficient of variation (CV)2.6310453
Kurtosis8.3714633
Mean22.75
Median Absolute Deviation (MAD)1
Skewness3.0331024
Sum728
Variance3582.7742
MonotonicityNot monotonic
2024-04-21T07:07:38.999618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 15
46.9%
1 6
 
18.8%
5 2
 
6.2%
35 1
 
3.1%
137 1
 
3.1%
230 1
 
3.1%
36 1
 
3.1%
28 1
 
3.1%
229 1
 
3.1%
2 1
 
3.1%
Other values (2) 2
 
6.2%
ValueCountFrequency (%)
0 15
46.9%
1 6
 
18.8%
2 1
 
3.1%
3 1
 
3.1%
5 2
 
6.2%
12 1
 
3.1%
28 1
 
3.1%
35 1
 
3.1%
36 1
 
3.1%
137 1
 
3.1%
ValueCountFrequency (%)
230 1
3.1%
229 1
3.1%
137 1
3.1%
36 1
3.1%
35 1
3.1%
28 1
3.1%
12 1
3.1%
5 2
6.2%
3 1
3.1%
2 1
3.1%

남동구 유족_여
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.84375
Minimum0
Maximum547
Zeros9
Zeros (%)28.1%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-04-21T07:07:39.176399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q324
95-th percentile251.3
Maximum547
Range547
Interquartile range (IQR)24

Descriptive statistics

Standard deviation118.55586
Coefficient of variation (CV)2.6437543
Kurtosis12.542661
Mean44.84375
Median Absolute Deviation (MAD)2
Skewness3.5351378
Sum1435
Variance14055.491
MonotonicityNot monotonic
2024-04-21T07:07:39.354944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 9
28.1%
1 6
18.8%
2 3
 
9.4%
24 2
 
6.2%
6 1
 
3.1%
3 1
 
3.1%
5 1
 
3.1%
13 1
 
3.1%
48 1
 
3.1%
4 1
 
3.1%
Other values (6) 6
18.8%
ValueCountFrequency (%)
0 9
28.1%
1 6
18.8%
2 3
 
9.4%
3 1
 
3.1%
4 1
 
3.1%
5 1
 
3.1%
6 1
 
3.1%
13 1
 
3.1%
24 2
 
6.2%
31 1
 
3.1%
ValueCountFrequency (%)
547 1
3.1%
402 1
3.1%
128 1
3.1%
110 1
3.1%
78 1
3.1%
48 1
3.1%
31 1
3.1%
24 2
6.2%
13 1
3.1%
6 1
3.1%

부평구 합계
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean188.125
Minimum0
Maximum2215
Zeros3
Zeros (%)9.4%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-04-21T07:07:39.554948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.75
median8.5
Q385.25
95-th percentile946.85
Maximum2215
Range2215
Interquartile range (IQR)83.5

Descriptive statistics

Standard deviation450.6824
Coefficient of variation (CV)2.395654
Kurtosis13.736065
Mean188.125
Median Absolute Deviation (MAD)8.5
Skewness3.5252164
Sum6020
Variance203114.63
MonotonicityNot monotonic
2024-04-21T07:07:39.763766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 5
 
15.6%
0 3
 
9.4%
6 2
 
6.2%
3 2
 
6.2%
8 1
 
3.1%
29 1
 
3.1%
54 1
 
3.1%
11 1
 
3.1%
2 1
 
3.1%
19 1
 
3.1%
Other values (14) 14
43.8%
ValueCountFrequency (%)
0 3
9.4%
1 5
15.6%
2 1
 
3.1%
3 2
 
6.2%
4 1
 
3.1%
5 1
 
3.1%
6 2
 
6.2%
8 1
 
3.1%
9 1
 
3.1%
11 1
 
3.1%
ValueCountFrequency (%)
2215 1
3.1%
1174 1
3.1%
761 1
3.1%
506 1
3.1%
347 1
3.1%
295 1
3.1%
267 1
3.1%
131 1
3.1%
70 1
3.1%
54 1
3.1%

부평구 본인_남
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)43.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean121.1875
Minimum0
Maximum2202
Zeros17
Zeros (%)53.1%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-04-21T07:07:39.952412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q318.25
95-th percentile400.95
Maximum2202
Range2202
Interquartile range (IQR)18.25

Descriptive statistics

Standard deviation398.17239
Coefficient of variation (CV)3.2855896
Kurtosis25.923548
Mean121.1875
Median Absolute Deviation (MAD)0
Skewness4.9214363
Sum3878
Variance158541.25
MonotonicityNot monotonic
2024-04-21T07:07:40.141911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 17
53.1%
18 2
 
6.2%
6 2
 
6.2%
440 1
 
3.1%
369 1
 
3.1%
139 1
 
3.1%
250 1
 
3.1%
2202 1
 
3.1%
347 1
 
3.1%
3 1
 
3.1%
Other values (4) 4
 
12.5%
ValueCountFrequency (%)
0 17
53.1%
1 1
 
3.1%
3 1
 
3.1%
6 2
 
6.2%
7 1
 
3.1%
18 2
 
6.2%
19 1
 
3.1%
53 1
 
3.1%
139 1
 
3.1%
250 1
 
3.1%
ValueCountFrequency (%)
2202 1
3.1%
440 1
3.1%
369 1
3.1%
347 1
3.1%
250 1
3.1%
139 1
3.1%
53 1
3.1%
19 1
3.1%
18 2
6.2%
7 1
3.1%

부평구 본인_여
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size384.0 B
0
28 
1
 
2
2
 
1
13
 
1

Length

Max length2
Median length1
Mean length1.03125
Min length1

Unique

Unique2 ?
Unique (%)6.2%

Sample

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

Common Values

ValueCountFrequency (%)
0 28
87.5%
1 2
 
6.2%
2 1
 
3.1%
13 1
 
3.1%

Length

2024-04-21T07:07:40.347129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T07:07:40.531056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
87.5%
1 2
 
6.2%
2 1
 
3.1%
13 1
 
3.1%

부평구 유족_남
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)40.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.09375
Minimum0
Maximum237
Zeros16
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-04-21T07:07:40.694254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q38
95-th percentile170.3
Maximum237
Range237
Interquartile range (IQR)8

Descriptive statistics

Standard deviation59.263958
Coefficient of variation (CV)2.5662336
Kurtosis8.7036212
Mean23.09375
Median Absolute Deviation (MAD)0.5
Skewness3.0672625
Sum739
Variance3512.2167
MonotonicityNot monotonic
2024-04-21T07:07:40.878375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 16
50.0%
2 3
 
9.4%
1 2
 
6.2%
8 2
 
6.2%
42 1
 
3.1%
128 1
 
3.1%
222 1
 
3.1%
36 1
 
3.1%
26 1
 
3.1%
237 1
 
3.1%
Other values (3) 3
 
9.4%
ValueCountFrequency (%)
0 16
50.0%
1 2
 
6.2%
2 3
 
9.4%
5 1
 
3.1%
6 1
 
3.1%
8 2
 
6.2%
13 1
 
3.1%
26 1
 
3.1%
36 1
 
3.1%
42 1
 
3.1%
ValueCountFrequency (%)
237 1
3.1%
222 1
3.1%
128 1
3.1%
42 1
3.1%
36 1
3.1%
26 1
3.1%
13 1
3.1%
8 2
6.2%
6 1
3.1%
5 1
3.1%

부평구 유족_여
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)46.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.3125
Minimum0
Maximum512
Zeros10
Zeros (%)31.2%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-04-21T07:07:41.072504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q316
95-th percentile249.7
Maximum512
Range512
Interquartile range (IQR)16

Descriptive statistics

Standard deviation112.832
Coefficient of variation (CV)2.6050678
Kurtosis11.680731
Mean43.3125
Median Absolute Deviation (MAD)1
Skewness3.411739
Sum1386
Variance12731.06
MonotonicityNot monotonic
2024-04-21T07:07:41.270051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 10
31.2%
1 7
21.9%
4 2
 
6.2%
2 2
 
6.2%
28 1
 
3.1%
139 1
 
3.1%
512 1
 
3.1%
95 1
 
3.1%
111 1
 
3.1%
385 1
 
3.1%
Other values (5) 5
15.6%
ValueCountFrequency (%)
0 10
31.2%
1 7
21.9%
2 2
 
6.2%
4 2
 
6.2%
5 1
 
3.1%
8 1
 
3.1%
12 1
 
3.1%
28 1
 
3.1%
35 1
 
3.1%
37 1
 
3.1%
ValueCountFrequency (%)
512 1
3.1%
385 1
3.1%
139 1
3.1%
111 1
3.1%
95 1
3.1%
37 1
3.1%
35 1
3.1%
28 1
3.1%
12 1
3.1%
8 1
3.1%

계양구 합계
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)59.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.9375
Minimum0
Maximum1102
Zeros7
Zeros (%)21.9%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-04-21T07:07:41.464350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q337
95-th percentile539.25
Maximum1102
Range1102
Interquartile range (IQR)36

Descriptive statistics

Standard deviation233.13293
Coefficient of variation (CV)2.4300501
Kurtosis11.93924
Mean95.9375
Median Absolute Deviation (MAD)6
Skewness3.3547981
Sum3070
Variance54350.964
MonotonicityNot monotonic
2024-04-21T07:07:41.660519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 7
21.9%
1 5
15.6%
7 2
 
6.2%
5 2
 
6.2%
3 2
 
6.2%
20 1
 
3.1%
24 1
 
3.1%
9 1
 
3.1%
18 1
 
3.1%
21 1
 
3.1%
Other values (9) 9
28.1%
ValueCountFrequency (%)
0 7
21.9%
1 5
15.6%
3 2
 
6.2%
5 2
 
6.2%
7 2
 
6.2%
9 1
 
3.1%
18 1
 
3.1%
20 1
 
3.1%
21 1
 
3.1%
24 1
 
3.1%
ValueCountFrequency (%)
1102 1
3.1%
674 1
3.1%
429 1
3.1%
257 1
3.1%
175 1
3.1%
118 1
3.1%
96 1
3.1%
64 1
3.1%
28 1
3.1%
24 1
3.1%

계양구 본인_남
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)46.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.53125
Minimum0
Maximum1092
Zeros16
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-04-21T07:07:41.853532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q310.25
95-th percentile215
Maximum1092
Range1092
Interquartile range (IQR)10.25

Descriptive statistics

Standard deviation197.93677
Coefficient of variation (CV)3.2699932
Kurtosis25.60249
Mean60.53125
Median Absolute Deviation (MAD)0.5
Skewness4.887174
Sum1937
Variance39178.967
MonotonicityNot monotonic
2024-04-21T07:07:42.039687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 16
50.0%
1 2
 
6.2%
5 2
 
6.2%
226 1
 
3.1%
206 1
 
3.1%
66 1
 
3.1%
100 1
 
3.1%
1092 1
 
3.1%
175 1
 
3.1%
3 1
 
3.1%
Other values (5) 5
 
15.6%
ValueCountFrequency (%)
0 16
50.0%
1 2
 
6.2%
3 1
 
3.1%
5 2
 
6.2%
6 1
 
3.1%
9 1
 
3.1%
10 1
 
3.1%
11 1
 
3.1%
21 1
 
3.1%
66 1
 
3.1%
ValueCountFrequency (%)
1092 1
3.1%
226 1
3.1%
206 1
3.1%
175 1
3.1%
100 1
3.1%
66 1
3.1%
21 1
3.1%
11 1
3.1%
10 1
3.1%
9 1
3.1%

계양구 본인_여
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size384.0 B
0
29 
1
 
2
10
 
1

Length

Max length2
Median length1
Mean length1.03125
Min length1

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 29
90.6%
1 2
 
6.2%
10 1
 
3.1%

Length

2024-04-21T07:07:42.255172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T07:07:42.447257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
90.6%
1 2
 
6.2%
10 1
 
3.1%

계양구 유족_남
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)34.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.1875
Minimum0
Maximum153
Zeros18
Zeros (%)56.2%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-04-21T07:07:42.615084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33.25
95-th percentile94.75
Maximum153
Range153
Interquartile range (IQR)3.25

Descriptive statistics

Standard deviation37.241529
Coefficient of variation (CV)2.8240022
Kurtosis11.04974
Mean13.1875
Median Absolute Deviation (MAD)0
Skewness3.4217854
Sum422
Variance1386.9315
MonotonicityNot monotonic
2024-04-21T07:07:42.819379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 18
56.2%
1 3
 
9.4%
14 2
 
6.2%
3 2
 
6.2%
4 1
 
3.1%
52 1
 
3.1%
153 1
 
3.1%
18 1
 
3.1%
147 1
 
3.1%
9 1
 
3.1%
ValueCountFrequency (%)
0 18
56.2%
1 3
 
9.4%
2 1
 
3.1%
3 2
 
6.2%
4 1
 
3.1%
9 1
 
3.1%
14 2
 
6.2%
18 1
 
3.1%
52 1
 
3.1%
147 1
 
3.1%
ValueCountFrequency (%)
153 1
 
3.1%
147 1
 
3.1%
52 1
 
3.1%
18 1
 
3.1%
14 2
6.2%
9 1
 
3.1%
4 1
 
3.1%
3 2
6.2%
2 1
 
3.1%
1 3
9.4%

계양구 유족_여
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)43.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.84375
Minimum0
Maximum295
Zeros17
Zeros (%)53.1%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-04-21T07:07:43.032566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q37.5
95-th percentile122.5
Maximum295
Range295
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation63.364338
Coefficient of variation (CV)2.9007994
Kurtosis13.673284
Mean21.84375
Median Absolute Deviation (MAD)0
Skewness3.719205
Sum699
Variance4015.0393
MonotonicityNot monotonic
2024-04-21T07:07:43.228371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 17
53.1%
1 3
 
9.4%
3 1
 
3.1%
14 1
 
3.1%
44 1
 
3.1%
295 1
 
3.1%
46 1
 
3.1%
36 1
 
3.1%
216 1
 
3.1%
17 1
 
3.1%
Other values (4) 4
 
12.5%
ValueCountFrequency (%)
0 17
53.1%
1 3
 
9.4%
2 1
 
3.1%
3 1
 
3.1%
5 1
 
3.1%
6 1
 
3.1%
12 1
 
3.1%
14 1
 
3.1%
17 1
 
3.1%
36 1
 
3.1%
ValueCountFrequency (%)
295 1
3.1%
216 1
3.1%
46 1
3.1%
44 1
3.1%
36 1
3.1%
17 1
3.1%
14 1
3.1%
12 1
3.1%
6 1
3.1%
5 1
3.1%

서구 합계
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)71.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean165.21875
Minimum0
Maximum1795
Zeros4
Zeros (%)12.5%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-04-21T07:07:43.436488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.75
median10
Q361
95-th percentile841.3
Maximum1795
Range1795
Interquartile range (IQR)58.25

Descriptive statistics

Standard deviation380.5066
Coefficient of variation (CV)2.3030473
Kurtosis11.249183
Mean165.21875
Median Absolute Deviation (MAD)10
Skewness3.2174598
Sum5287
Variance144785.27
MonotonicityNot monotonic
2024-04-21T07:07:43.648372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 4
 
12.5%
1 3
 
9.4%
3 3
 
9.4%
4 2
 
6.2%
24 2
 
6.2%
2 1
 
3.1%
12 1
 
3.1%
39 1
 
3.1%
11 1
 
3.1%
53 1
 
3.1%
Other values (13) 13
40.6%
ValueCountFrequency (%)
0 4
12.5%
1 3
9.4%
2 1
 
3.1%
3 3
9.4%
4 2
6.2%
6 1
 
3.1%
7 1
 
3.1%
9 1
 
3.1%
11 1
 
3.1%
12 1
 
3.1%
ValueCountFrequency (%)
1795 1
3.1%
1058 1
3.1%
664 1
3.1%
580 1
3.1%
311 1
3.1%
281 1
3.1%
226 1
3.1%
85 1
3.1%
53 1
3.1%
42 1
3.1%

서구 본인_남
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)46.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.25
Minimum0
Maximum1778
Zeros15
Zeros (%)46.9%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-04-21T07:07:43.863691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.5
Q322
95-th percentile414.4
Maximum1778
Range1778
Interquartile range (IQR)22

Descriptive statistics

Standard deviation327.35637
Coefficient of variation (CV)3.0810011
Kurtosis23.407568
Mean106.25
Median Absolute Deviation (MAD)1.5
Skewness4.6301592
Sum3400
Variance107162.19
MonotonicityNot monotonic
2024-04-21T07:07:44.065250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 15
46.9%
2 3
 
9.4%
22 2
 
6.2%
373 1
 
3.1%
465 1
 
3.1%
96 1
 
3.1%
238 1
 
3.1%
1778 1
 
3.1%
311 1
 
3.1%
12 1
 
3.1%
Other values (5) 5
 
15.6%
ValueCountFrequency (%)
0 15
46.9%
1 1
 
3.1%
2 3
 
9.4%
3 1
 
3.1%
10 1
 
3.1%
11 1
 
3.1%
12 1
 
3.1%
22 2
 
6.2%
52 1
 
3.1%
96 1
 
3.1%
ValueCountFrequency (%)
1778 1
3.1%
465 1
3.1%
373 1
3.1%
311 1
3.1%
238 1
3.1%
96 1
3.1%
52 1
3.1%
22 2
6.2%
12 1
3.1%
11 1
3.1%

서구 본인_여
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size384.0 B
0
28 
1
 
2
5
 
1
17
 
1

Length

Max length2
Median length1
Mean length1.03125
Min length1

Unique

Unique2 ?
Unique (%)6.2%

Sample

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

Common Values

ValueCountFrequency (%)
0 28
87.5%
1 2
 
6.2%
5 1
 
3.1%
17 1
 
3.1%

Length

2024-04-21T07:07:44.311606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T07:07:44.508315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
87.5%
1 2
 
6.2%
5 1
 
3.1%
17 1
 
3.1%

서구 유족_남
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)46.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.1875
Minimum0
Maximum248
Zeros15
Zeros (%)46.9%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-04-21T07:07:44.690262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q37.5
95-th percentile170.9
Maximum248
Range248
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation61.566349
Coefficient of variation (CV)2.7748214
Kurtosis9.9086942
Mean22.1875
Median Absolute Deviation (MAD)1
Skewness3.2669525
Sum710
Variance3790.4153
MonotonicityNot monotonic
2024-04-21T07:07:44.902343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 15
46.9%
1 3
 
9.4%
2 2
 
6.2%
5 1
 
3.1%
16 1
 
3.1%
116 1
 
3.1%
238 1
 
3.1%
23 1
 
3.1%
24 1
 
3.1%
248 1
 
3.1%
Other values (5) 5
 
15.6%
ValueCountFrequency (%)
0 15
46.9%
1 3
 
9.4%
2 2
 
6.2%
3 1
 
3.1%
4 1
 
3.1%
5 1
 
3.1%
7 1
 
3.1%
9 1
 
3.1%
10 1
 
3.1%
16 1
 
3.1%
ValueCountFrequency (%)
248 1
3.1%
238 1
3.1%
116 1
3.1%
24 1
3.1%
23 1
3.1%
16 1
3.1%
10 1
3.1%
9 1
3.1%
7 1
3.1%
5 1
3.1%

서구 유족_여
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)46.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.03125
Minimum0
Maximum446
Zeros10
Zeros (%)31.2%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-04-21T07:07:45.137269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q313
95-th percentile204.5
Maximum446
Range446
Interquartile range (IQR)13

Descriptive statistics

Standard deviation96.149576
Coefficient of variation (CV)2.6685051
Kurtosis12.640978
Mean36.03125
Median Absolute Deviation (MAD)1
Skewness3.5381874
Sum1153
Variance9244.7409
MonotonicityNot monotonic
2024-04-21T07:07:45.325771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 10
31.2%
1 7
21.9%
2 3
 
9.4%
22 1
 
3.1%
110 1
 
3.1%
446 1
 
3.1%
62 1
 
3.1%
91 1
 
3.1%
320 1
 
3.1%
29 1
 
3.1%
Other values (5) 5
15.6%
ValueCountFrequency (%)
0 10
31.2%
1 7
21.9%
2 3
 
9.4%
4 1
 
3.1%
5 1
 
3.1%
9 1
 
3.1%
10 1
 
3.1%
22 1
 
3.1%
29 1
 
3.1%
32 1
 
3.1%
ValueCountFrequency (%)
446 1
3.1%
320 1
3.1%
110 1
3.1%
91 1
3.1%
62 1
3.1%
32 1
3.1%
29 1
3.1%
22 1
3.1%
10 1
3.1%
9 1
3.1%

강화군 합계
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.5625
Minimum0
Maximum1427
Zeros13
Zeros (%)40.6%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-04-21T07:07:45.551379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q319
95-th percentile230.2
Maximum1427
Range1427
Interquartile range (IQR)19

Descriptive statistics

Standard deviation254.52308
Coefficient of variation (CV)3.5076393
Kurtosis28.10495
Mean72.5625
Median Absolute Deviation (MAD)2
Skewness5.1865043
Sum2322
Variance64781.996
MonotonicityNot monotonic
2024-04-21T07:07:45.795607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 13
40.6%
2 4
 
12.5%
10 2
 
6.2%
1427 1
 
3.1%
15 1
 
3.1%
1 1
 
3.1%
5 1
 
3.1%
8 1
 
3.1%
91 1
 
3.1%
4 1
 
3.1%
Other values (6) 6
18.8%
ValueCountFrequency (%)
0 13
40.6%
1 1
 
3.1%
2 4
 
12.5%
4 1
 
3.1%
5 1
 
3.1%
8 1
 
3.1%
10 2
 
6.2%
15 1
 
3.1%
31 1
 
3.1%
74 1
 
3.1%
ValueCountFrequency (%)
1427 1
3.1%
261 1
3.1%
205 1
3.1%
96 1
3.1%
91 1
3.1%
76 1
3.1%
74 1
3.1%
31 1
3.1%
15 1
3.1%
10 2
6.2%

강화군 본인_남
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56.9375
Minimum0
Maximum1422
Zeros21
Zeros (%)65.6%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-04-21T07:07:45.995788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile100.9
Maximum1422
Range1422
Interquartile range (IQR)5

Descriptive statistics

Standard deviation250.79589
Coefficient of variation (CV)4.4047576
Kurtosis31.053482
Mean56.9375
Median Absolute Deviation (MAD)0
Skewness5.5388161
Sum1822
Variance62898.577
MonotonicityNot monotonic
2024-04-21T07:07:46.189457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 21
65.6%
67 2
 
6.2%
2 2
 
6.2%
113 1
 
3.1%
36 1
 
3.1%
1422 1
 
3.1%
91 1
 
3.1%
4 1
 
3.1%
8 1
 
3.1%
10 1
 
3.1%
ValueCountFrequency (%)
0 21
65.6%
2 2
 
6.2%
4 1
 
3.1%
8 1
 
3.1%
10 1
 
3.1%
36 1
 
3.1%
67 2
 
6.2%
91 1
 
3.1%
113 1
 
3.1%
1422 1
 
3.1%
ValueCountFrequency (%)
1422 1
 
3.1%
113 1
 
3.1%
91 1
 
3.1%
67 2
 
6.2%
36 1
 
3.1%
10 1
 
3.1%
8 1
 
3.1%
4 1
 
3.1%
2 2
 
6.2%
0 21
65.6%

강화군 본인_여
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size384.0 B
0
31 
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 31
96.9%
5 1
 
3.1%

Length

2024-04-21T07:07:46.411577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T07:07:46.588049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 31
96.9%
5 1
 
3.1%

강화군 유족_남
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.96875
Minimum0
Maximum67
Zeros20
Zeros (%)62.5%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-04-21T07:07:46.742936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile42.25
Maximum67
Range67
Interquartile range (IQR)2

Descriptive statistics

Standard deviation15.386388
Coefficient of variation (CV)2.5778241
Kurtosis8.9638209
Mean5.96875
Median Absolute Deviation (MAD)0
Skewness3.0459172
Sum191
Variance236.74093
MonotonicityNot monotonic
2024-04-21T07:07:46.935386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 20
62.5%
1 3
 
9.4%
2 2
 
6.2%
3 1
 
3.1%
5 1
 
3.1%
45 1
 
3.1%
40 1
 
3.1%
16 1
 
3.1%
8 1
 
3.1%
67 1
 
3.1%
ValueCountFrequency (%)
0 20
62.5%
1 3
 
9.4%
2 2
 
6.2%
3 1
 
3.1%
5 1
 
3.1%
8 1
 
3.1%
16 1
 
3.1%
40 1
 
3.1%
45 1
 
3.1%
67 1
 
3.1%
ValueCountFrequency (%)
67 1
 
3.1%
45 1
 
3.1%
40 1
 
3.1%
16 1
 
3.1%
8 1
 
3.1%
5 1
 
3.1%
3 1
 
3.1%
2 2
 
6.2%
1 3
 
9.4%
0 20
62.5%

강화군 유족_여
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.5
Minimum0
Maximum108
Zeros17
Zeros (%)53.1%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-04-21T07:07:47.137477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33.5
95-th percentile61.85
Maximum108
Range108
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation25.921718
Coefficient of variation (CV)2.7286019
Kurtosis11.227368
Mean9.5
Median Absolute Deviation (MAD)0
Skewness3.4329084
Sum304
Variance671.93548
MonotonicityNot monotonic
2024-04-21T07:07:47.544922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 17
53.1%
1 5
 
15.6%
5 1
 
3.1%
29 1
 
3.1%
108 1
 
3.1%
15 1
 
3.1%
21 1
 
3.1%
102 1
 
3.1%
8 1
 
3.1%
6 1
 
3.1%
Other values (2) 2
 
6.2%
ValueCountFrequency (%)
0 17
53.1%
1 5
 
15.6%
2 1
 
3.1%
3 1
 
3.1%
5 1
 
3.1%
6 1
 
3.1%
8 1
 
3.1%
15 1
 
3.1%
21 1
 
3.1%
29 1
 
3.1%
ValueCountFrequency (%)
108 1
3.1%
102 1
3.1%
29 1
3.1%
21 1
3.1%
15 1
3.1%
8 1
3.1%
6 1
3.1%
5 1
3.1%
3 1
3.1%
2 1
3.1%

옹진군 합계
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)40.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.0625
Minimum0
Maximum195
Zeros17
Zeros (%)53.1%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-04-21T07:07:47.730288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q38.5
95-th percentile56.95
Maximum195
Range195
Interquartile range (IQR)8.5

Descriptive statistics

Standard deviation37.071803
Coefficient of variation (CV)2.6362171
Kurtosis19.220526
Mean14.0625
Median Absolute Deviation (MAD)0
Skewness4.1448788
Sum450
Variance1374.3185
MonotonicityNot monotonic
2024-04-21T07:07:47.933247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 17
53.1%
10 2
 
6.2%
43 2
 
6.2%
1 2
 
6.2%
2 1
 
3.1%
74 1
 
3.1%
33 1
 
3.1%
195 1
 
3.1%
18 1
 
3.1%
4 1
 
3.1%
Other values (3) 3
 
9.4%
ValueCountFrequency (%)
0 17
53.1%
1 2
 
6.2%
2 1
 
3.1%
3 1
 
3.1%
4 1
 
3.1%
5 1
 
3.1%
8 1
 
3.1%
10 2
 
6.2%
18 1
 
3.1%
33 1
 
3.1%
ValueCountFrequency (%)
195 1
3.1%
74 1
3.1%
43 2
6.2%
33 1
3.1%
18 1
3.1%
10 2
6.2%
8 1
3.1%
5 1
3.1%
4 1
3.1%
3 1
3.1%

옹진군 본인_남
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)34.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.1875
Minimum0
Maximum193
Zeros22
Zeros (%)68.8%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-04-21T07:07:48.133165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.5
95-th percentile34.6
Maximum193
Range193
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation34.76598
Coefficient of variation (CV)3.4126116
Kurtosis26.653463
Mean10.1875
Median Absolute Deviation (MAD)0
Skewness5.0124648
Sum326
Variance1208.6734
MonotonicityNot monotonic
2024-04-21T07:07:48.333781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 22
68.8%
31 1
 
3.1%
25 1
 
3.1%
8 1
 
3.1%
39 1
 
3.1%
193 1
 
3.1%
18 1
 
3.1%
1 1
 
3.1%
5 1
 
3.1%
2 1
 
3.1%
ValueCountFrequency (%)
0 22
68.8%
1 1
 
3.1%
2 1
 
3.1%
4 1
 
3.1%
5 1
 
3.1%
8 1
 
3.1%
18 1
 
3.1%
25 1
 
3.1%
31 1
 
3.1%
39 1
 
3.1%
ValueCountFrequency (%)
193 1
3.1%
39 1
3.1%
31 1
3.1%
25 1
3.1%
18 1
3.1%
8 1
3.1%
5 1
3.1%
4 1
3.1%
2 1
3.1%
1 1
3.1%

옹진군 본인_여
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size384.0 B
0
31 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 31
96.9%
2 1
 
3.1%

Length

2024-04-21T07:07:48.554183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T07:07:48.721087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 31
96.9%
2 1
 
3.1%

옹진군 유족_남
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)21.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.375
Minimum0
Maximum18
Zeros25
Zeros (%)78.1%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-04-21T07:07:48.863790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8.5
Maximum18
Range18
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.9899066
Coefficient of variation (CV)2.9017503
Kurtosis12.436265
Mean1.375
Median Absolute Deviation (MAD)0
Skewness3.556492
Sum44
Variance15.919355
MonotonicityNot monotonic
2024-04-21T07:07:49.049752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 25
78.1%
2 2
 
6.2%
4 1
 
3.1%
14 1
 
3.1%
3 1
 
3.1%
18 1
 
3.1%
1 1
 
3.1%
ValueCountFrequency (%)
0 25
78.1%
1 1
 
3.1%
2 2
 
6.2%
3 1
 
3.1%
4 1
 
3.1%
14 1
 
3.1%
18 1
 
3.1%
ValueCountFrequency (%)
18 1
 
3.1%
14 1
 
3.1%
4 1
 
3.1%
3 1
 
3.1%
2 2
 
6.2%
1 1
 
3.1%
0 25
78.1%

옹진군 유족_여
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4375
Minimum0
Maximum29
Zeros22
Zeros (%)68.8%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-04-21T07:07:49.235754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.5
95-th percentile11.5
Maximum29
Range29
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation5.9673169
Coefficient of variation (CV)2.44813
Kurtosis13.495281
Mean2.4375
Median Absolute Deviation (MAD)0
Skewness3.5136551
Sum78
Variance35.608871
MonotonicityNot monotonic
2024-04-21T07:07:49.415104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 22
68.8%
6 2
 
6.2%
4 2
 
6.2%
1 2
 
6.2%
29 1
 
3.1%
7 1
 
3.1%
17 1
 
3.1%
3 1
 
3.1%
ValueCountFrequency (%)
0 22
68.8%
1 2
 
6.2%
3 1
 
3.1%
4 2
 
6.2%
6 2
 
6.2%
7 1
 
3.1%
17 1
 
3.1%
29 1
 
3.1%
ValueCountFrequency (%)
29 1
 
3.1%
17 1
 
3.1%
7 1
 
3.1%
6 2
 
6.2%
4 2
 
6.2%
3 1
 
3.1%
1 2
 
6.2%
0 22
68.8%

Sample

구분인천광역시 합계인천광역시 본인_남인천광역시 본인_여인천광역시 유족_남인천광역시 유족_여중구 합계중구 본인_남중구 본인_여중구 유족_남중구 유족_여동구 합계동구 본인_남동구 본인_여동구 유족_남동구 유족_여미추홀구 합계미추홀구 본인_남미추홀구 본인_여미추홀구 유족_남미추홀구 유족_여연수구 합계연수구 본인_남연수구 본인_여연수구 유족_남연수구 유족_여남동구 합계남동구 본인_남남동구 본인_여남동구 유족_남남동구 유족_여부평구 합계부평구 본인_남부평구 본인_여부평구 유족_남부평구 유족_여계양구 합계계양구 본인_남계양구 본인_여계양구 유족_남계양구 유족_여서구 합계서구 본인_남서구 본인_여서구 유족_남서구 유족_여강화군 합계강화군 본인_남강화군 본인_여강화군 유족_남강화군 유족_여옹진군 합계옹진군 본인_남옹진군 본인_여옹진군 유족_남옹진군 유족_여
0국가유공자_독립유공자(순국선열)3900231600000000005003260060500145001470043700524003100000
1국가유공자_독립유공자(애국지사)34200196146250015106001563003627410030115900352470004228280014143800162210005520020
2국가유공자_전몰군경(전몰군경유족)1428007247048600414541002021224001051191390076632650013712826700128139960052442260011611074004529100046
3국가유공자_전상군경6878258121380291534214814714619671033921176462023048468325401732561240463023054711744400222512674226015329510583731238446261113040108743101429
4국가유공자_순직군경(순직군경유족)650001984523100823180061210400347062001844114003678131003695640018468500236231001615100037
5국가유공자_공상군경3205244321655951781340113360460311467328027112409323022646194801281105063690261112572061143658046502491966708213325026
6국가유공자_무공수훈자43887340143822161923905210112623032716681220208338540760200264760129022940276113902373854296601472166649602483202053606710243801817
7국가유공자_보국수훈자1480125315381748162051416110051068209151281090316336295823129525028351181000117281238592976670184339004
8국가유공자_6.25참전재일학도의용군(인)2700131410001000002001170034100109005410010600240000000000
9국가유공자_참전유공자13472133601120069468113004164124002246222125001180117280022022187150022152202130011021092100017951778170014271422500195193200
구분인천광역시 합계인천광역시 본인_남인천광역시 본인_여인천광역시 유족_남인천광역시 유족_여중구 합계중구 본인_남중구 본인_여중구 유족_남중구 유족_여동구 합계동구 본인_남동구 본인_여동구 유족_남동구 유족_여미추홀구 합계미추홀구 본인_남미추홀구 본인_여미추홀구 유족_남미추홀구 유족_여연수구 합계연수구 본인_남연수구 본인_여연수구 유족_남연수구 유족_여남동구 합계남동구 본인_남남동구 본인_여남동구 유족_남남동구 유족_여부평구 합계부평구 본인_남부평구 본인_여부평구 유족_남부평구 유족_여계양구 합계계양구 본인_남계양구 본인_여계양구 유족_남계양구 유족_여서구 합계서구 본인_남서구 본인_여서구 유족_남서구 유족_여강화군 합계강화군 본인_남강화군 본인_여강화군 유족_남강화군 유족_여옹진군 합계옹진군 본인_남옹진군 본인_여옹진군 유족_남옹진군 유족_여
22보훈보상대상자_재해사망군경(재해사망군경유족)500022283001200000400227002511005611006530012900452001100000
23보훈보상대상자_재해부상군경29527907915150007700044400133632013474600154530102421021535201010801155000
24보훈보상대상자_재해사망공무원(재해사망공무원유족)4000400000000000000010001100011000100000100010000000000
25보훈보상대상자_재해부상공무원2110000000000000000000000110000000010100000000000000000
26특수임무유공자_특수임무사망·행방불명자유족3000300000000000000000000000000000000000100012000200000
27특수임무유공자_특수임무부상자75660186401144000161100512110011010000660005500011110002200032001
28특수임무유공자_특수임무공로자30616724295241901411403450220101846221815643505242918128201103639220710151002384013
29민주유공자_5·18사망행불자2001100000000000000000000100101000100000000000000000000
30민주유공자_5·18부상자5442228430013100263111430101210101660007600112100020000000000
31민주유공자_5·18기타희생자43370244301000000440001110001750118700155000430010000000000