Overview

Dataset statistics

Number of variables29
Number of observations28
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.2 KiB
Average record size in memory264.7 B

Variable types

Text1
Numeric15
Categorical13

Dataset

Description전라남도 여수시 관내 의료급여대상자 유형별(1종,2종,국가유공자,북한이탈주민, 광주민주화운동관련자, 군입대자 등)현황 등 항목을 제공합니다.
URLhttps://www.data.go.kr/data/3079956/fileData.do

Alerts

차상위 의료급여 특례 2종(세대) has constant value ""Constant
차상위의료급여 특례 2종(명) has constant value ""Constant
차상위 의료급여 특례 18세미만(세대) has constant value ""Constant
차상윙료급여 특례 18세미만(명) has constant value ""Constant
중요무형 문화재 보유자(세대) has constant value ""Constant
중요무형 문화재 보유자(명) has constant value ""Constant
이재민(세대) has constant value ""Constant
이재민(명) has constant value ""Constant
행려환자(명) has constant value ""Constant
의상자및 의사자의 유족(세대) is highly imbalanced (53.9%)Imbalance
의상자및 의사자의 유족(명) is highly imbalanced (56.1%)Imbalance
읍면동 has unique valuesUnique
국내입양 아동(세대) has 10 (35.7%) zerosZeros
국내입양 아동(명) has 10 (35.7%) zerosZeros
광주 민주화운동 관련자(세대) has 16 (57.1%) zerosZeros
광주 민주황운동 관련자(명) has 16 (57.1%) zerosZeros
북한 이탈주민(세대) has 18 (64.3%) zerosZeros
북한 이탈주민(명) has 18 (64.3%) zerosZeros
보장시설(명) has 11 (39.3%) zerosZeros

Reproduction

Analysis started2023-12-13 00:40:45.773939
Analysis finished2023-12-13 00:40:46.010077
Duration0.24 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

읍면동
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-13T09:40:46.143755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.7857143
Min length1

Characters and Unicode

Total characters106
Distinct characters48
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)100.0%

Sample

1st row계
2nd row 돌산읍
3rd row 소라면
4th row 율촌면
5th row 화양면
ValueCountFrequency (%)
계 1
 
3.6%
돌산읍 1
 
3.6%
삼일동 1
 
3.6%
주삼동 1
 
3.6%
여천동 1
 
3.6%
시전동 1
 
3.6%
쌍봉동 1
 
3.6%
만덕동 1
 
3.6%
둔덕동 1
 
3.6%
미평동 1
 
3.6%
Other values (18) 18
64.3%
2023-12-13T09:40:46.408337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26
24.5%
동 21
19.8%
면 6
 
5.7%
삼 3
 
2.8%
문 2
 
1.9%
산 2
 
1.9%
서 2
 
1.9%
여 2
 
1.9%
화 2
 
1.9%
덕 2
 
1.9%
Other values (38) 38
35.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 80
75.5%
Space Separator 26
 
24.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 21
26.2%
면 6
 
7.5%
삼 3
 
3.8%
문 2
 
2.5%
산 2
 
2.5%
서 2
 
2.5%
여 2
 
2.5%
화 2
 
2.5%
덕 2
 
2.5%
월 1
 
1.2%
Other values (37) 37
46.2%
Space Separator
ValueCountFrequency (%)
26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 80
75.5%
Common 26
 
24.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 21
26.2%
면 6
 
7.5%
삼 3
 
3.8%
문 2
 
2.5%
산 2
 
2.5%
서 2
 
2.5%
여 2
 
2.5%
화 2
 
2.5%
덕 2
 
2.5%
월 1
 
1.2%
Other values (37) 37
46.2%
Common
ValueCountFrequency (%)
26
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 80
75.5%
ASCII 26
 
24.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26
100.0%
Hangul
ValueCountFrequency (%)
동 21
26.2%
면 6
 
7.5%
삼 3
 
3.8%
문 2
 
2.5%
산 2
 
2.5%
서 2
 
2.5%
여 2
 
2.5%
화 2
 
2.5%
덕 2
 
2.5%
월 1
 
1.2%
Other values (37) 37
46.2%

전체(세대)
Real number (ℝ)

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean449.35714
Minimum21
Maximum6291
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-13T09:40:46.504634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile47.9
Q1117.5
median192.5
Q3266.25
95-th percentile906.05
Maximum6291
Range6270
Interquartile range (IQR)148.75

Descriptive statistics

Standard deviation1164.4273
Coefficient of variation (CV)2.5913181
Kurtosis25.951445
Mean449.35714
Median Absolute Deviation (MAD)75
Skewness5.0241703
Sum12582
Variance1355891
MonotonicityNot monotonic
2023-12-13T09:40:46.807451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
214 2
 
7.1%
204 2
 
7.1%
6291 1
 
3.6%
21 1
 
3.6%
43 1
 
3.6%
57 1
 
3.6%
648 1
 
3.6%
270 1
 
3.6%
147 1
 
3.6%
123 1
 
3.6%
Other values (16) 16
57.1%
ValueCountFrequency (%)
21 1
3.6%
43 1
3.6%
57 1
3.6%
60 1
3.6%
67 1
3.6%
86 1
3.6%
101 1
3.6%
123 1
3.6%
131 1
3.6%
147 1
3.6%
ValueCountFrequency (%)
6291 1
3.6%
1045 1
3.6%
648 1
3.6%
510 1
3.6%
435 1
3.6%
330 1
3.6%
270 1
3.6%
265 1
3.6%
235 1
3.6%
217 1
3.6%

전체(명)
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean607.42857
Minimum21
Maximum8504
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-13T09:40:46.905062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile57.05
Q1149
median269.5
Q3396
95-th percentile1116.25
Maximum8504
Range8483
Interquartile range (IQR)247

Descriptive statistics

Standard deviation1570.6525
Coefficient of variation (CV)2.5857402
Kurtosis26.203405
Mean607.42857
Median Absolute Deviation (MAD)127.5
Skewness5.054139
Sum17008
Variance2466949.1
MonotonicityNot monotonic
2023-12-13T09:40:46.987812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
295 2
 
7.1%
8504 1
 
3.6%
399 1
 
3.6%
21 1
 
3.6%
49 1
 
3.6%
85 1
 
3.6%
866 1
 
3.6%
395 1
 
3.6%
226 1
 
3.6%
197 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
21 1
3.6%
49 1
3.6%
72 1
3.6%
79 1
3.6%
85 1
3.6%
110 1
3.6%
134 1
3.6%
154 1
3.6%
188 1
3.6%
197 1
3.6%
ValueCountFrequency (%)
8504 1
3.6%
1251 1
3.6%
866 1
3.6%
679 1
3.6%
638 1
3.6%
472 1
3.6%
399 1
3.6%
395 1
3.6%
335 1
3.6%
295 2
7.1%

국민기초1종(세대)
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean371.28571
Minimum19
Maximum5198
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-13T09:40:47.072575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile40.1
Q187.5
median154.5
Q3200.5
95-th percentile793.65
Maximum5198
Range5179
Interquartile range (IQR)113

Descriptive statistics

Standard deviation964.17133
Coefficient of variation (CV)2.5968447
Kurtosis25.705282
Mean371.28571
Median Absolute Deviation (MAD)57
Skewness4.9947041
Sum10396
Variance929626.36
MonotonicityNot monotonic
2023-12-13T09:40:47.157331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
163 2
 
7.1%
267 1
 
3.6%
19 1
 
3.6%
38 1
 
3.6%
44 1
 
3.6%
520 1
 
3.6%
200 1
 
3.6%
106 1
 
3.6%
89 1
 
3.6%
442 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
19 1
3.6%
38 1
3.6%
44 1
3.6%
51 1
3.6%
52 1
3.6%
72 1
3.6%
83 1
3.6%
89 1
3.6%
106 1
3.6%
118 1
3.6%
ValueCountFrequency (%)
5198 1
3.6%
941 1
3.6%
520 1
3.6%
442 1
3.6%
349 1
3.6%
267 1
3.6%
202 1
3.6%
200 1
3.6%
191 1
3.6%
186 1
3.6%

국민기초1종(명)
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean428.57143
Minimum19
Maximum6000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-13T09:40:47.256230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile46.6
Q1108.75
median172
Q3227
95-th percentile901.6
Maximum6000
Range5981
Interquartile range (IQR)118.25

Descriptive statistics

Standard deviation1112.2638
Coefficient of variation (CV)2.5952823
Kurtosis25.774381
Mean428.57143
Median Absolute Deviation (MAD)66
Skewness5.0028007
Sum12000
Variance1237130.8
MonotonicityNot monotonic
2023-12-13T09:40:47.363835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
164 2
 
7.1%
6000 1
 
3.6%
245 1
 
3.6%
19 1
 
3.6%
41 1
 
3.6%
57 1
 
3.6%
613 1
 
3.6%
195 1
 
3.6%
221 1
 
3.6%
120 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
19 1
3.6%
41 1
3.6%
57 1
3.6%
59 1
3.6%
60 1
3.6%
86 1
3.6%
96 1
3.6%
113 1
3.6%
120 1
3.6%
137 1
3.6%
ValueCountFrequency (%)
6000 1
3.6%
1057 1
3.6%
613 1
3.6%
508 1
3.6%
412 1
3.6%
301 1
3.6%
245 1
3.6%
221 1
3.6%
220 1
3.6%
217 1
3.6%

국민기초종(세대)
Real number (ℝ)

Distinct22
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.071429
Minimum1
Maximum645
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-13T09:40:47.448679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.05
Q18
median23
Q334.25
95-th percentile70.2
Maximum645
Range644
Interquartile range (IQR)26.25

Descriptive statistics

Standard deviation119.05148
Coefficient of variation (CV)2.584063
Kurtosis26.280305
Mean46.071429
Median Absolute Deviation (MAD)15
Skewness5.0594786
Sum1290
Variance14173.254
MonotonicityNot monotonic
2023-12-13T09:40:47.556446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
23 3
 
10.7%
8 2
 
7.1%
1 2
 
7.1%
10 2
 
7.1%
4 2
 
7.1%
38 1
 
3.6%
73 1
 
3.6%
32 1
 
3.6%
50 1
 
3.6%
52 1
 
3.6%
Other values (12) 12
42.9%
ValueCountFrequency (%)
1 2
7.1%
4 2
7.1%
6 1
 
3.6%
7 1
 
3.6%
8 2
7.1%
10 2
7.1%
11 1
 
3.6%
13 1
 
3.6%
15 1
 
3.6%
23 3
10.7%
ValueCountFrequency (%)
645 1
3.6%
73 1
3.6%
65 1
3.6%
56 1
3.6%
52 1
3.6%
50 1
3.6%
38 1
3.6%
33 1
3.6%
32 1
3.6%
28 1
3.6%

국민기초2종(명)
Real number (ℝ)

Distinct25
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.785714
Minimum1
Maximum1355
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-13T09:40:47.664649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.05
Q117.25
median47.5
Q373.75
95-th percentile150.35
Maximum1355
Range1354
Interquartile range (IQR)56.5

Descriptive statistics

Standard deviation250.45623
Coefficient of variation (CV)2.5877396
Kurtosis26.112737
Mean96.785714
Median Absolute Deviation (MAD)30.5
Skewness5.0371943
Sum2710
Variance62728.323
MonotonicityNot monotonic
2023-12-13T09:40:47.759966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
59 2
 
7.1%
24 2
 
7.1%
49 2
 
7.1%
79 1
 
3.6%
1 1
 
3.6%
2 1
 
3.6%
20 1
 
3.6%
157 1
 
3.6%
72 1
 
3.6%
109 1
 
3.6%
Other values (15) 15
53.6%
ValueCountFrequency (%)
1 1
3.6%
2 1
3.6%
5 1
3.6%
8 1
3.6%
9 1
3.6%
10 1
3.6%
15 1
3.6%
18 1
3.6%
20 1
3.6%
24 2
7.1%
ValueCountFrequency (%)
1355 1
3.6%
157 1
3.6%
138 1
3.6%
134 1
3.6%
109 1
3.6%
107 1
3.6%
79 1
3.6%
72 1
3.6%
59 2
7.1%
58 1
3.6%

군입대자1종(명)
Categorical

Distinct5
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Memory size356.0 B
0
18 
1
6 
2
2 
13
 
1
3
 
1

Length

Max length2
Median length1
Mean length1.0357143
Min length1

Unique

Unique2 ?
Unique (%)7.1%

Sample

1st row13
2nd row1
3rd row0
4th row0
5th row2

Common Values

ValueCountFrequency (%)
0 18
64.3%
1 6
 
21.4%
2 2
 
7.1%
13 1
 
3.6%
3 1
 
3.6%

Length

2023-12-13T09:40:47.853415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:40:47.928473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 18
64.3%
1 6
 
21.4%
2 2
 
7.1%
13 1
 
3.6%
3 1
 
3.6%

군입대자2종(명)
Categorical

Distinct5
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Memory size356.0 B
0
17 
1
5 
2
4 
17
 
1
4
 
1

Length

Max length2
Median length1
Mean length1.0357143
Min length1

Unique

Unique2 ?
Unique (%)7.1%

Sample

1st row17
2nd row0
3rd row2
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 17
60.7%
1 5
 
17.9%
2 4
 
14.3%
17 1
 
3.6%
4 1
 
3.6%

Length

2023-12-13T09:40:48.009373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:40:48.093294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 17
60.7%
1 5
 
17.9%
2 4
 
14.3%
17 1
 
3.6%
4 1
 
3.6%

차상위 의료급여 특례 2종(세대)
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
0
28 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 28
100.0%

Length

2023-12-13T09:40:48.184320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:40:48.249741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
100.0%

차상위의료급여 특례 2종(명)
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
0
28 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 28
100.0%

Length

2023-12-13T09:40:48.317073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:40:48.392225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
100.0%

차상위 의료급여 특례 18세미만(세대)
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
0
28 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 28
100.0%

Length

2023-12-13T09:40:48.459281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:40:48.525215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
100.0%

차상윙료급여 특례 18세미만(명)
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
0
28 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 28
100.0%

Length

2023-12-13T09:40:48.594331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:40:48.660296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
100.0%

국내입양 아동(세대)
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8571429
Minimum0
Maximum40
Zeros10
Zeros (%)35.7%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-13T09:40:48.722914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32.25
95-th percentile5.95
Maximum40
Range40
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation7.4769487
Coefficient of variation (CV)2.616932
Kurtosis24.827159
Mean2.8571429
Median Absolute Deviation (MAD)1
Skewness4.8700417
Sum80
Variance55.904762
MonotonicityNot monotonic
2023-12-13T09:40:48.802255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 10
35.7%
1 7
25.0%
2 4
 
14.3%
4 3
 
10.7%
3 2
 
7.1%
40 1
 
3.6%
7 1
 
3.6%
ValueCountFrequency (%)
0 10
35.7%
1 7
25.0%
2 4
 
14.3%
3 2
 
7.1%
4 3
 
10.7%
7 1
 
3.6%
40 1
 
3.6%
ValueCountFrequency (%)
40 1
 
3.6%
7 1
 
3.6%
4 3
 
10.7%
3 2
 
7.1%
2 4
 
14.3%
1 7
25.0%
0 10
35.7%

국내입양 아동(명)
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8571429
Minimum0
Maximum40
Zeros10
Zeros (%)35.7%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-13T09:40:48.890369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32.25
95-th percentile5.95
Maximum40
Range40
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation7.4769487
Coefficient of variation (CV)2.616932
Kurtosis24.827159
Mean2.8571429
Median Absolute Deviation (MAD)1
Skewness4.8700417
Sum80
Variance55.904762
MonotonicityNot monotonic
2023-12-13T09:40:48.972848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 10
35.7%
1 7
25.0%
2 4
 
14.3%
4 3
 
10.7%
3 2
 
7.1%
40 1
 
3.6%
7 1
 
3.6%
ValueCountFrequency (%)
0 10
35.7%
1 7
25.0%
2 4
 
14.3%
3 2
 
7.1%
4 3
 
10.7%
7 1
 
3.6%
40 1
 
3.6%
ValueCountFrequency (%)
40 1
 
3.6%
7 1
 
3.6%
4 3
 
10.7%
3 2
 
7.1%
2 4
 
14.3%
1 7
25.0%
0 10
35.7%

국가유공자(세대)
Real number (ℝ)

Distinct18
Distinct (%)64.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.857143
Minimum1
Maximum348
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-13T09:40:49.059251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.35
Q17
median10
Q319.25
95-th percentile34.6
Maximum348
Range347
Interquartile range (IQR)12.25

Descriptive statistics

Standard deviation64.024714
Coefficient of variation (CV)2.5757069
Kurtosis26.665282
Mean24.857143
Median Absolute Deviation (MAD)4
Skewness5.1113925
Sum696
Variance4099.164
MonotonicityNot monotonic
2023-12-13T09:40:49.142108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
10 4
14.3%
8 3
 
10.7%
14 2
 
7.1%
1 2
 
7.1%
7 2
 
7.1%
6 2
 
7.1%
11 2
 
7.1%
27 1
 
3.6%
3 1
 
3.6%
29 1
 
3.6%
Other values (8) 8
28.6%
ValueCountFrequency (%)
1 2
7.1%
2 1
 
3.6%
3 1
 
3.6%
6 2
7.1%
7 2
7.1%
8 3
10.7%
10 4
14.3%
11 2
7.1%
12 1
 
3.6%
14 2
7.1%
ValueCountFrequency (%)
348 1
3.6%
36 1
3.6%
32 1
3.6%
29 1
3.6%
27 1
3.6%
24 1
3.6%
23 1
3.6%
18 1
3.6%
14 2
7.1%
12 1
3.6%

국가유공자(명)
Real number (ℝ)

Distinct20
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.428571
Minimum1
Maximum580
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-13T09:40:49.228507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.35
Q111.75
median17.5
Q334
95-th percentile55.1
Maximum580
Range579
Interquartile range (IQR)22.25

Descriptive statistics

Standard deviation106.72479
Coefficient of variation (CV)2.5761155
Kurtosis26.64661
Mean41.428571
Median Absolute Deviation (MAD)9
Skewness5.1082456
Sum1160
Variance11390.18
MonotonicityNot monotonic
2023-12-13T09:40:49.309314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
19 3
 
10.7%
27 2
 
7.1%
46 2
 
7.1%
12 2
 
7.1%
1 2
 
7.1%
13 2
 
7.1%
14 2
 
7.1%
44 1
 
3.6%
5 1
 
3.6%
43 1
 
3.6%
Other values (10) 10
35.7%
ValueCountFrequency (%)
1 2
7.1%
2 1
3.6%
5 1
3.6%
9 1
3.6%
10 1
3.6%
11 1
3.6%
12 2
7.1%
13 2
7.1%
14 2
7.1%
16 1
3.6%
ValueCountFrequency (%)
580 1
 
3.6%
60 1
 
3.6%
46 2
7.1%
45 1
 
3.6%
44 1
 
3.6%
43 1
 
3.6%
31 1
 
3.6%
27 2
7.1%
21 1
 
3.6%
19 3
10.7%

광주 민주화운동 관련자(세대)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5714286
Minimum0
Maximum22
Zeros16
Zeros (%)57.1%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-13T09:40:49.387173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile4.3
Maximum22
Range22
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.1848808
Coefficient of variation (CV)2.663106
Kurtosis22.943991
Mean1.5714286
Median Absolute Deviation (MAD)0
Skewness4.6291937
Sum44
Variance17.513228
MonotonicityNot monotonic
2023-12-13T09:40:49.468147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 16
57.1%
2 5
 
17.9%
1 4
 
14.3%
22 1
 
3.6%
5 1
 
3.6%
3 1
 
3.6%
ValueCountFrequency (%)
0 16
57.1%
1 4
 
14.3%
2 5
 
17.9%
3 1
 
3.6%
5 1
 
3.6%
22 1
 
3.6%
ValueCountFrequency (%)
22 1
 
3.6%
5 1
 
3.6%
3 1
 
3.6%
2 5
 
17.9%
1 4
 
14.3%
0 16
57.1%

광주 민주황운동 관련자(명)
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3571429
Minimum0
Maximum61
Zeros16
Zeros (%)57.1%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-13T09:40:49.541278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile11.9
Maximum61
Range61
Interquartile range (IQR)5

Descriptive statistics

Standard deviation11.627599
Coefficient of variation (CV)2.6686293
Kurtosis22.728446
Mean4.3571429
Median Absolute Deviation (MAD)0
Skewness4.6018697
Sum122
Variance135.20106
MonotonicityNot monotonic
2023-12-13T09:40:49.636652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 16
57.1%
5 3
 
10.7%
8 2
 
7.1%
3 2
 
7.1%
2 2
 
7.1%
61 1
 
3.6%
14 1
 
3.6%
6 1
 
3.6%
ValueCountFrequency (%)
0 16
57.1%
2 2
 
7.1%
3 2
 
7.1%
5 3
 
10.7%
6 1
 
3.6%
8 2
 
7.1%
14 1
 
3.6%
61 1
 
3.6%
ValueCountFrequency (%)
61 1
 
3.6%
14 1
 
3.6%
8 2
 
7.1%
6 1
 
3.6%
5 3
 
10.7%
3 2
 
7.1%
2 2
 
7.1%
0 16
57.1%

중요무형 문화재 보유자(세대)
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
0
28 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 28
100.0%

Length

2023-12-13T09:40:49.721023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:40:49.788012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
100.0%

중요무형 문화재 보유자(명)
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
0
28 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 28
100.0%

Length

2023-12-13T09:40:49.856839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:40:49.920757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
100.0%

북한 이탈주민(세대)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3571429
Minimum0
Maximum33
Zeros18
Zeros (%)64.3%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-13T09:40:49.977431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile15.35
Maximum33
Range33
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.2939056
Coefficient of variation (CV)3.0943842
Kurtosis13.491481
Mean2.3571429
Median Absolute Deviation (MAD)0
Skewness3.7108047
Sum66
Variance53.201058
MonotonicityNot monotonic
2023-12-13T09:40:50.052484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 18
64.3%
1 6
 
21.4%
33 1
 
3.6%
3 1
 
3.6%
2 1
 
3.6%
22 1
 
3.6%
ValueCountFrequency (%)
0 18
64.3%
1 6
 
21.4%
2 1
 
3.6%
3 1
 
3.6%
22 1
 
3.6%
33 1
 
3.6%
ValueCountFrequency (%)
33 1
 
3.6%
22 1
 
3.6%
3 1
 
3.6%
2 1
 
3.6%
1 6
 
21.4%
0 18
64.3%

북한 이탈주민(명)
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)32.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3571429
Minimum0
Maximum61
Zeros18
Zeros (%)64.3%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-13T09:40:50.125554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile25.2
Maximum61
Range61
Interquartile range (IQR)2

Descriptive statistics

Standard deviation12.947799
Coefficient of variation (CV)2.971626
Kurtosis15.044328
Mean4.3571429
Median Absolute Deviation (MAD)0
Skewness3.839635
Sum122
Variance167.6455
MonotonicityNot monotonic
2023-12-13T09:40:50.214170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 18
64.3%
2 3
 
10.7%
61 1
 
3.6%
7 1
 
3.6%
5 1
 
3.6%
1 1
 
3.6%
4 1
 
3.6%
3 1
 
3.6%
35 1
 
3.6%
ValueCountFrequency (%)
0 18
64.3%
1 1
 
3.6%
2 3
 
10.7%
3 1
 
3.6%
4 1
 
3.6%
5 1
 
3.6%
7 1
 
3.6%
35 1
 
3.6%
61 1
 
3.6%
ValueCountFrequency (%)
61 1
 
3.6%
35 1
 
3.6%
7 1
 
3.6%
5 1
 
3.6%
4 1
 
3.6%
3 1
 
3.6%
2 3
 
10.7%
1 1
 
3.6%
0 18
64.3%

이재민(세대)
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
0
28 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 28
100.0%

Length

2023-12-13T09:40:50.301081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:40:50.365403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
100.0%

이재민(명)
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
0
28 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 28
100.0%

Length

2023-12-13T09:40:50.442452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:40:50.511292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
100.0%

의상자및 의사자의 유족(세대)
Categorical

IMBALANCE 

Distinct4
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size356.0 B
0
23 
1
3 
5
 
1
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)7.1%

Sample

1st row5
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 23
82.1%
1 3
 
10.7%
5 1
 
3.6%
2 1
 
3.6%

Length

2023-12-13T09:40:50.579180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:40:50.648559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 23
82.1%
1 3
 
10.7%
5 1
 
3.6%
2 1
 
3.6%

의상자및 의사자의 유족(명)
Categorical

IMBALANCE 

Distinct5
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Memory size356.0 B
0
23 
1
 
2
7
 
1
3
 
1
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique3 ?
Unique (%)10.7%

Sample

1st row7
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 23
82.1%
1 2
 
7.1%
7 1
 
3.6%
3 1
 
3.6%
2 1
 
3.6%

Length

2023-12-13T09:40:50.722983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:40:50.805160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 23
82.1%
1 2
 
7.1%
7 1
 
3.6%
3 1
 
3.6%
2 1
 
3.6%

행려환자(명)
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
0
28 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 28
100.0%

Length

2023-12-13T09:40:50.885376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:40:50.951975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
100.0%

보장시설(명)
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)46.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.428571
Minimum0
Maximum370
Zeros11
Zeros (%)39.3%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-13T09:40:51.010436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q328.25
95-th percentile73.9
Maximum370
Range370
Interquartile range (IQR)28.25

Descriptive statistics

Standard deviation70.985877
Coefficient of variation (CV)2.6859521
Kurtosis22.059233
Mean26.428571
Median Absolute Deviation (MAD)1
Skewness4.5131065
Sum740
Variance5038.9947
MonotonicityNot monotonic
2023-12-13T09:40:51.090222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 11
39.3%
1 5
17.9%
3 2
 
7.1%
370 1
 
3.6%
44 1
 
3.6%
70 1
 
3.6%
29 1
 
3.6%
76 1
 
3.6%
8 1
 
3.6%
56 1
 
3.6%
Other values (3) 3
 
10.7%
ValueCountFrequency (%)
0 11
39.3%
1 5
17.9%
3 2
 
7.1%
8 1
 
3.6%
17 1
 
3.6%
28 1
 
3.6%
29 1
 
3.6%
31 1
 
3.6%
44 1
 
3.6%
56 1
 
3.6%
ValueCountFrequency (%)
370 1
3.6%
76 1
3.6%
70 1
3.6%
56 1
3.6%
44 1
3.6%
31 1
3.6%
29 1
3.6%
28 1
3.6%
17 1
3.6%
8 1
3.6%

Sample

읍면동전체(세대)전체(명)국민기초1종(세대)국민기초1종(명)국민기초종(세대)국민기초2종(명)군입대자1종(명)군입대자2종(명)차상위 의료급여 특례 2종(세대)차상위의료급여 특례 2종(명)차상위 의료급여 특례 18세미만(세대)차상윙료급여 특례 18세미만(명)국내입양 아동(세대)국내입양 아동(명)국가유공자(세대)국가유공자(명)광주 민주화운동 관련자(세대)광주 민주황운동 관련자(명)중요무형 문화재 보유자(세대)중요무형 문화재 보유자(명)북한 이탈주민(세대)북한 이탈주민(명)이재민(세대)이재민(명)의상자및 의사자의 유족(세대)의상자및 의사자의 유족(명)행려환자(명)보장시설(명)
0계62918504519860006451355131700004040348580226100336100570370
1돌산읍33047226730125581000000036602800000000044
2소라면435679349412561380200004423460000370000070
3율촌면1812551621981015000000118120000000000029
4화양면17028914716410242100000012191300000000076
5남면131154118137451000002279000000000000
6화정면6779525948000000001010120000000000
7삼산면607251607100000000022000000000000
8동문동204268179210152600000011613250015000008
9한려동157199136158132700000000814000000000000
읍면동전체(세대)전체(명)국민기초1종(세대)국민기초1종(명)국민기초종(세대)국민기초2종(명)군입대자1종(명)군입대자2종(명)차상위 의료급여 특례 2종(세대)차상위의료급여 특례 2종(명)차상위 의료급여 특례 18세미만(세대)차상윙료급여 특례 18세미만(명)국내입양 아동(세대)국내입양 아동(명)국가유공자(세대)국가유공자(명)광주 민주화운동 관련자(세대)광주 민주황운동 관련자(명)중요무형 문화재 보유자(세대)중요무형 문화재 보유자(명)북한 이탈주민(세대)북한 이탈주민(명)이재민(세대)이재민(명)의상자및 의사자의 유족(세대)의상자및 의사자의 유족(명)행려환자(명)보장시설(명)
18문수동10451251941105765134020000333245000024002303
19미평동51063844250852107120000001416130000001100
20둔덕동123197891132359120000111021000000000000
21만덕동14722610612023491100004411272500120000017
22쌍봉동270395200221501090100004411193500130012031
23시전동2142951631953272000000771014260000000001
24여천동6488665206137315734000022294328002235000001
25주삼동578544578200000001135000012000000
26삼일동43493841120000002211120000000001
27묘도동21211919110000000011000000000000