Overview

Dataset statistics

Number of variables42
Number of observations98
Missing cells1928
Missing cells (%)46.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory35.9 KiB
Average record size in memory375.3 B

Variable types

Text2
Numeric33
Categorical7

Dataset

Description2023년 12월 기준 경상남도 거제시 외국인 인구현황 자료로, 남, 여, 5세 단위 구분, 각 면동 별 인구를 국적 별로 분류하였습니다.
Author경상남도 거제시
URLhttps://www.data.go.kr/data/3079542/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
70-74세 is highly imbalanced (65.3%)Imbalance
75-79세 is highly imbalanced (72.6%)Imbalance
80-84세 is highly imbalanced (85.6%)Imbalance
85-89세 is highly imbalanced (82.4%)Imbalance
90-94세 is highly imbalanced (85.6%)Imbalance
0-4세 has 70 (71.4%) missing valuesMissing
05-09세 has 75 (76.5%) missing valuesMissing
10-14세 has 71 (72.4%) missing valuesMissing
15-19세 has 72 (73.5%) missing valuesMissing
20-24세 has 56 (57.1%) missing valuesMissing
25-29세 has 34 (34.7%) missing valuesMissing
30-34세 has 30 (30.6%) missing valuesMissing
35-39세 has 35 (35.7%) missing valuesMissing
40-44세 has 30 (30.6%) missing valuesMissing
45-49세 has 37 (37.8%) missing valuesMissing
50-54세 has 41 (41.8%) missing valuesMissing
55-59세 has 54 (55.1%) missing valuesMissing
60-64세 has 71 (72.4%) missing valuesMissing
65-69세 has 76 (77.6%) missing valuesMissing
일운면 has 74 (75.5%) missing valuesMissing
동부면 has 88 (89.8%) missing valuesMissing
남부면 has 88 (89.8%) missing valuesMissing
거제면 has 78 (79.6%) missing valuesMissing
둔덕면 has 86 (87.8%) missing valuesMissing
사등면 has 70 (71.4%) missing valuesMissing
연초면 has 58 (59.2%) missing valuesMissing
하청면 has 81 (82.7%) missing valuesMissing
장목면 has 78 (79.6%) missing valuesMissing
장승포동 has 74 (75.5%) missing valuesMissing
능포동 has 68 (69.4%) missing valuesMissing
아주동 has 38 (38.8%) missing valuesMissing
옥포1동 has 37 (37.8%) missing valuesMissing
옥포2동 has 30 (30.6%) missing valuesMissing
장평동 has 26 (26.5%) missing valuesMissing
고현동 has 57 (58.2%) missing valuesMissing
상문동 has 76 (77.6%) missing valuesMissing
수양동 has 69 (70.4%) missing valuesMissing
구분 has unique valuesUnique

Reproduction

Analysis started2024-03-14 09:36:54.295531
Analysis finished2024-03-14 09:36:55.015875
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Text

UNIQUE 

Distinct98
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size912.0 B
2024-03-14T18:36:56.041592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length3.7653061
Min length2

Characters and Unicode

Total characters369
Distinct characters125
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique98 ?
Unique (%)100.0%

Sample

1st row합계
2nd row가나
3rd row감비아
4th row그리스
5th row기니
ValueCountFrequency (%)
합계 1
 
1.0%
캐나다 1
 
1.0%
카타르 1
 
1.0%
카자흐스탄 1
 
1.0%
카메룬 1
 
1.0%
중국 1
 
1.0%
일본 1
 
1.0%
인도네시아 1
 
1.0%
인도 1
 
1.0%
이탈리아 1
 
1.0%
Other values (88) 88
89.8%
2024-03-14T18:36:57.698980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 28
 
7.6%
스 15
 
4.1%
리 13
 
3.5%
르 13
 
3.5%
이 13
 
3.5%
국 11
 
3.0%
라 10
 
2.7%
니 8
 
2.2%
시 7
 
1.9%
탄 7
 
1.9%
Other values (115) 244
66.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 367
99.5%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 28
 
7.6%
스 15
 
4.1%
리 13
 
3.5%
르 13
 
3.5%
이 13
 
3.5%
국 11
 
3.0%
라 10
 
2.7%
니 8
 
2.2%
시 7
 
1.9%
탄 7
 
1.9%
Other values (113) 242
65.9%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 367
99.5%
Common 2
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 28
 
7.6%
스 15
 
4.1%
리 13
 
3.5%
르 13
 
3.5%
이 13
 
3.5%
국 11
 
3.0%
라 10
 
2.7%
니 8
 
2.2%
시 7
 
1.9%
탄 7
 
1.9%
Other values (113) 242
65.9%
Common
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 367
99.5%
ASCII 2
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 28
 
7.6%
스 15
 
4.1%
리 13
 
3.5%
르 13
 
3.5%
이 13
 
3.5%
국 11
 
3.0%
라 10
 
2.7%
니 8
 
2.2%
시 7
 
1.9%
탄 7
 
1.9%
Other values (113) 242
65.9%
ASCII
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

계(2023년 기준)
Real number (ℝ)

Distinct53
Distinct (%)54.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean240.26531
Minimum1
Maximum11773
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1010.0 B
2024-03-14T18:36:58.108177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median9.5
Q368.5
95-th percentile943.05
Maximum11773
Range11772
Interquartile range (IQR)64.5

Descriptive statistics

Standard deviation1219.6983
Coefficient of variation (CV)5.0764647
Kurtosis84.683362
Mean240.26531
Median Absolute Deviation (MAD)8.5
Skewness8.9611942
Sum23546
Variance1487664
MonotonicityNot monotonic
2024-03-14T18:36:58.547695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 9
 
9.2%
1 9
 
9.2%
4 9
 
9.2%
5 6
 
6.1%
8 5
 
5.1%
6 5
 
5.1%
7 3
 
3.1%
37 3
 
3.1%
52 2
 
2.0%
32 2
 
2.0%
Other values (43) 45
45.9%
ValueCountFrequency (%)
1 9
9.2%
2 9
9.2%
3 1
 
1.0%
4 9
9.2%
5 6
6.1%
6 5
5.1%
7 3
 
3.1%
8 5
5.1%
9 2
 
2.0%
10 1
 
1.0%
ValueCountFrequency (%)
11773 1
1.0%
2395 1
1.0%
1181 1
1.0%
996 1
1.0%
949 1
1.0%
942 1
1.0%
547 1
1.0%
537 1
1.0%
407 1
1.0%
354 1
1.0%

남
Text

Distinct50
Distinct (%)51.0%
Missing0
Missing (%)0.0%
Memory size912.0 B
2024-03-14T18:36:59.213485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length5
Mean length2.8877551
Min length2

Characters and Unicode

Total characters283
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)35.7%

Sample

1st row9731
2nd row6
3rd row2
4th row29
5th row6
ValueCountFrequency (%)
1 13
 
13.5%
2 8
 
8.3%
5 8
 
8.3%
3 6
 
6.2%
6 6
 
6.2%
7 3
 
3.1%
51 3
 
3.1%
4 2
 
2.1%
14 2
 
2.1%
60 2
 
2.1%
Other values (39) 43
44.8%
2024-03-14T18:37:00.252378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
120
42.4%
1 40
 
14.1%
2 30
 
10.6%
5 18
 
6.4%
3 18
 
6.4%
6 14
 
4.9%
9 11
 
3.9%
4 11
 
3.9%
7 10
 
3.5%
8 6
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 163
57.6%
Space Separator 120
42.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 40
24.5%
2 30
18.4%
5 18
11.0%
3 18
11.0%
6 14
 
8.6%
9 11
 
6.7%
4 11
 
6.7%
7 10
 
6.1%
8 6
 
3.7%
0 5
 
3.1%
Space Separator
ValueCountFrequency (%)
120
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 283
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
120
42.4%
1 40
 
14.1%
2 30
 
10.6%
5 18
 
6.4%
3 18
 
6.4%
6 14
 
4.9%
9 11
 
3.9%
4 11
 
3.9%
7 10
 
3.5%
8 6
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 283
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
120
42.4%
1 40
 
14.1%
2 30
 
10.6%
5 18
 
6.4%
3 18
 
6.4%
6 14
 
4.9%
9 11
 
3.9%
4 11
 
3.9%
7 10
 
3.5%
8 6
 
2.1%

여
Categorical

Distinct31
Distinct (%)31.6%
Missing0
Missing (%)0.0%
Memory size912.0 B
36 
1
13 
3
6 
4
6 
2
6 
Other values (26)
31 

Length

Max length12
Median length5
Mean length5.9693878
Min length2

Unique

Unique22 ?
Unique (%)22.4%

Sample

1st row2042
2nd row
3rd row
4th row3
5th row

Common Values

ValueCountFrequency (%)
36
36.7%
1 13
 
13.3%
3 6
 
6.1%
4 6
 
6.1%
2 6
 
6.1%
6 3
 
3.1%
21 2
 
2.0%
7 2
 
2.0%
8 2
 
2.0%
13 1
 
1.0%
Other values (21) 21
21.4%

Length

2024-03-14T18:37:00.667322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1 13
21.0%
4 6
 
9.7%
2 6
 
9.7%
3 6
 
9.7%
6 3
 
4.8%
21 2
 
3.2%
7 2
 
3.2%
8 2
 
3.2%
31 1
 
1.6%
234 1
 
1.6%
Other values (20) 20
32.3%

0-4세
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)35.7%
Missing70
Missing (%)71.4%
Infinite0
Infinite (%)0.0%
Mean9.6428571
Minimum1
Maximum135
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1010.0 B
2024-03-14T18:37:01.003885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q38.25
95-th percentile16.65
Maximum135
Range134
Interquartile range (IQR)7.25

Descriptive statistics

Standard deviation25.103068
Coefficient of variation (CV)2.6032811
Kurtosis25.416766
Mean9.6428571
Median Absolute Deviation (MAD)1
Skewness4.9462744
Sum270
Variance630.16402
MonotonicityNot monotonic
2024-03-14T18:37:01.382956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 9
 
9.2%
2 7
 
7.1%
6 3
 
3.1%
16 2
 
2.0%
9 2
 
2.0%
135 1
 
1.0%
14 1
 
1.0%
8 1
 
1.0%
17 1
 
1.0%
5 1
 
1.0%
(Missing) 70
71.4%
ValueCountFrequency (%)
1 9
9.2%
2 7
7.1%
5 1
 
1.0%
6 3
 
3.1%
8 1
 
1.0%
9 2
 
2.0%
14 1
 
1.0%
16 2
 
2.0%
17 1
 
1.0%
135 1
 
1.0%
ValueCountFrequency (%)
135 1
 
1.0%
17 1
 
1.0%
16 2
 
2.0%
14 1
 
1.0%
9 2
 
2.0%
8 1
 
1.0%
6 3
 
3.1%
5 1
 
1.0%
2 7
7.1%
1 9
9.2%

05-09세
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)56.5%
Missing75
Missing (%)76.5%
Infinite0
Infinite (%)0.0%
Mean12.173913
Minimum1
Maximum140
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1010.0 B
2024-03-14T18:37:01.718976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q39.5
95-th percentile23.3
Maximum140
Range139
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation28.506223
Coefficient of variation (CV)2.3415826
Kurtosis20.711086
Mean12.173913
Median Absolute Deviation (MAD)3
Skewness4.4634043
Sum280
Variance812.60474
MonotonicityNot monotonic
2024-03-14T18:37:02.081792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 5
 
5.1%
2 4
 
4.1%
8 3
 
3.1%
6 2
 
2.0%
140 1
 
1.0%
14 1
 
1.0%
5 1
 
1.0%
17 1
 
1.0%
3 1
 
1.0%
11 1
 
1.0%
Other values (3) 3
 
3.1%
(Missing) 75
76.5%
ValueCountFrequency (%)
1 5
5.1%
2 4
4.1%
3 1
 
1.0%
4 1
 
1.0%
5 1
 
1.0%
6 2
 
2.0%
8 3
3.1%
11 1
 
1.0%
13 1
 
1.0%
14 1
 
1.0%
ValueCountFrequency (%)
140 1
 
1.0%
24 1
 
1.0%
17 1
 
1.0%
14 1
 
1.0%
13 1
 
1.0%
11 1
 
1.0%
8 3
3.1%
6 2
2.0%
5 1
 
1.0%
4 1
 
1.0%

10-14세
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)37.0%
Missing71
Missing (%)72.4%
Infinite0
Infinite (%)0.0%
Mean8.5185185
Minimum1
Maximum115
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1010.0 B
2024-03-14T18:37:02.441139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q35
95-th percentile20.5
Maximum115
Range114
Interquartile range (IQR)4

Descriptive statistics

Standard deviation21.958651
Coefficient of variation (CV)2.5777546
Kurtosis23.433592
Mean8.5185185
Median Absolute Deviation (MAD)2
Skewness4.7251934
Sum230
Variance482.18234
MonotonicityNot monotonic
2024-03-14T18:37:02.797439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 12
 
12.2%
4 4
 
4.1%
5 3
 
3.1%
3 2
 
2.0%
115 1
 
1.0%
10 1
 
1.0%
17 1
 
1.0%
22 1
 
1.0%
15 1
 
1.0%
2 1
 
1.0%
(Missing) 71
72.4%
ValueCountFrequency (%)
1 12
12.2%
2 1
 
1.0%
3 2
 
2.0%
4 4
 
4.1%
5 3
 
3.1%
10 1
 
1.0%
15 1
 
1.0%
17 1
 
1.0%
22 1
 
1.0%
115 1
 
1.0%
ValueCountFrequency (%)
115 1
 
1.0%
22 1
 
1.0%
17 1
 
1.0%
15 1
 
1.0%
10 1
 
1.0%
5 3
 
3.1%
4 4
 
4.1%
3 2
 
2.0%
2 1
 
1.0%
1 12
12.2%

15-19세
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)38.5%
Missing72
Missing (%)73.5%
Infinite0
Infinite (%)0.0%
Mean10
Minimum1
Maximum130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1010.0 B
2024-03-14T18:37:03.049752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q37
95-th percentile35.5
Maximum130
Range129
Interquartile range (IQR)6

Descriptive statistics

Standard deviation25.890539
Coefficient of variation (CV)2.5890539
Kurtosis20.22361
Mean10
Median Absolute Deviation (MAD)1
Skewness4.3779162
Sum260
Variance670.32
MonotonicityNot monotonic
2024-03-14T18:37:03.244706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 12
 
12.2%
4 3
 
3.1%
2 2
 
2.0%
8 2
 
2.0%
7 2
 
2.0%
130 1
 
1.0%
11 1
 
1.0%
43 1
 
1.0%
13 1
 
1.0%
5 1
 
1.0%
(Missing) 72
73.5%
ValueCountFrequency (%)
1 12
12.2%
2 2
 
2.0%
4 3
 
3.1%
5 1
 
1.0%
7 2
 
2.0%
8 2
 
2.0%
11 1
 
1.0%
13 1
 
1.0%
43 1
 
1.0%
130 1
 
1.0%
ValueCountFrequency (%)
130 1
 
1.0%
43 1
 
1.0%
13 1
 
1.0%
11 1
 
1.0%
8 2
 
2.0%
7 2
 
2.0%
5 1
 
1.0%
4 3
 
3.1%
2 2
 
2.0%
1 12
12.2%

20-24세
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)50.0%
Missing56
Missing (%)57.1%
Infinite0
Infinite (%)0.0%
Mean44.761905
Minimum1
Maximum940
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1010.0 B
2024-03-14T18:37:03.570512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q317
95-th percentile105.6
Maximum940
Range939
Interquartile range (IQR)15

Descriptive statistics

Standard deviation149.05553
Coefficient of variation (CV)3.329964
Kurtosis33.655845
Mean44.761905
Median Absolute Deviation (MAD)4
Skewness5.6204269
Sum1880
Variance22217.552
MonotonicityNot monotonic
2024-03-14T18:37:03.940542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1 9
 
9.2%
2 5
 
5.1%
3 4
 
4.1%
5 3
 
3.1%
7 3
 
3.1%
14 2
 
2.0%
12 2
 
2.0%
106 1
 
1.0%
6 1
 
1.0%
4 1
 
1.0%
Other values (11) 11
 
11.2%
(Missing) 56
57.1%
ValueCountFrequency (%)
1 9
9.2%
2 5
5.1%
3 4
4.1%
4 1
 
1.0%
5 3
 
3.1%
6 1
 
1.0%
7 3
 
3.1%
10 1
 
1.0%
12 2
 
2.0%
14 2
 
2.0%
ValueCountFrequency (%)
940 1
1.0%
267 1
1.0%
106 1
1.0%
98 1
1.0%
77 1
1.0%
67 1
1.0%
59 1
1.0%
41 1
1.0%
36 1
1.0%
32 1
1.0%

25-29세
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)50.0%
Missing34
Missing (%)34.7%
Infinite0
Infinite (%)0.0%
Mean63.625
Minimum1
Maximum2036
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1010.0 B
2024-03-14T18:37:04.318248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median6
Q318.75
95-th percentile218.05
Maximum2036
Range2035
Interquartile range (IQR)17.75

Descriptive statistics

Standard deviation261.37539
Coefficient of variation (CV)4.1080612
Kurtosis53.554266
Mean63.625
Median Absolute Deviation (MAD)5
Skewness7.0956072
Sum4072
Variance68317.095
MonotonicityNot monotonic
2024-03-14T18:37:04.703443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1 17
17.3%
2 5
 
5.1%
4 4
 
4.1%
6 4
 
4.1%
3 3
 
3.1%
55 2
 
2.0%
5 2
 
2.0%
7 2
 
2.0%
9 2
 
2.0%
18 1
 
1.0%
Other values (22) 22
22.4%
(Missing) 34
34.7%
ValueCountFrequency (%)
1 17
17.3%
2 5
 
5.1%
3 3
 
3.1%
4 4
 
4.1%
5 2
 
2.0%
6 4
 
4.1%
7 2
 
2.0%
8 1
 
1.0%
9 2
 
2.0%
10 1
 
1.0%
ValueCountFrequency (%)
2036 1
1.0%
439 1
1.0%
272 1
1.0%
220 1
1.0%
207 1
1.0%
160 1
1.0%
121 1
1.0%
55 2
2.0%
50 1
1.0%
49 1
1.0%

30-34세
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)50.0%
Missing30
Missing (%)30.6%
Infinite0
Infinite (%)0.0%
Mean82.882353
Minimum1
Maximum2818
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1010.0 B
2024-03-14T18:37:05.139079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median6.5
Q321
95-th percentile299.5
Maximum2818
Range2817
Interquartile range (IQR)19

Descriptive statistics

Standard deviation352.49581
Coefficient of variation (CV)4.2529658
Kurtosis56.154424
Mean82.882353
Median Absolute Deviation (MAD)5.5
Skewness7.2553554
Sum5636
Variance124253.3
MonotonicityNot monotonic
2024-03-14T18:37:05.355160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
1 12
 
12.2%
2 8
 
8.2%
3 7
 
7.1%
7 3
 
3.1%
4 3
 
3.1%
13 3
 
3.1%
21 2
 
2.0%
5 2
 
2.0%
6 2
 
2.0%
8 2
 
2.0%
Other values (24) 24
24.5%
(Missing) 30
30.6%
ValueCountFrequency (%)
1 12
12.2%
2 8
8.2%
3 7
7.1%
4 3
 
3.1%
5 2
 
2.0%
6 2
 
2.0%
7 3
 
3.1%
8 2
 
2.0%
10 1
 
1.0%
11 1
 
1.0%
ValueCountFrequency (%)
2818 1
1.0%
646 1
1.0%
383 1
1.0%
324 1
1.0%
254 1
1.0%
222 1
1.0%
181 1
1.0%
88 1
1.0%
80 1
1.0%
77 1
1.0%

35-39세
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)50.8%
Missing35
Missing (%)35.7%
Infinite0
Infinite (%)0.0%
Mean76.031746
Minimum1
Maximum2395
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1010.0 B
2024-03-14T18:37:05.576524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median7
Q323
95-th percentile260.5
Maximum2395
Range2394
Interquartile range (IQR)22

Descriptive statistics

Standard deviation309.44081
Coefficient of variation (CV)4.0698895
Kurtosis52.973008
Mean76.031746
Median Absolute Deviation (MAD)6
Skewness7.0605744
Sum4790
Variance95753.612
MonotonicityNot monotonic
2024-03-14T18:37:05.890718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1 18
18.4%
3 5
 
5.1%
5 3
 
3.1%
2 3
 
3.1%
12 2
 
2.0%
11 2
 
2.0%
7 2
 
2.0%
15 2
 
2.0%
8 2
 
2.0%
6 2
 
2.0%
Other values (22) 22
22.4%
(Missing) 35
35.7%
ValueCountFrequency (%)
1 18
18.4%
2 3
 
3.1%
3 5
 
5.1%
5 3
 
3.1%
6 2
 
2.0%
7 2
 
2.0%
8 2
 
2.0%
9 1
 
1.0%
10 1
 
1.0%
11 2
 
2.0%
ValueCountFrequency (%)
2395 1
1.0%
515 1
1.0%
266 1
1.0%
262 1
1.0%
247 1
1.0%
209 1
1.0%
132 1
1.0%
125 1
1.0%
78 1
1.0%
60 1
1.0%

40-44세
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)41.2%
Missing30
Missing (%)30.6%
Infinite0
Infinite (%)0.0%
Mean39.882353
Minimum1
Maximum1356
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1010.0 B
2024-03-14T18:37:06.109511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q314.5
95-th percentile130.95
Maximum1356
Range1355
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation167.13767
Coefficient of variation (CV)4.1907675
Kurtosis59.656347
Mean39.882353
Median Absolute Deviation (MAD)3
Skewness7.5326785
Sum2712
Variance27935.001
MonotonicityNot monotonic
2024-03-14T18:37:06.340475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
1 15
15.3%
2 8
 
8.2%
3 7
 
7.1%
4 5
 
5.1%
5 3
 
3.1%
6 3
 
3.1%
7 3
 
3.1%
14 2
 
2.0%
8 2
 
2.0%
10 2
 
2.0%
Other values (18) 18
18.4%
(Missing) 30
30.6%
ValueCountFrequency (%)
1 15
15.3%
2 8
8.2%
3 7
7.1%
4 5
 
5.1%
5 3
 
3.1%
6 3
 
3.1%
7 3
 
3.1%
8 2
 
2.0%
10 2
 
2.0%
11 1
 
1.0%
ValueCountFrequency (%)
1356 1
1.0%
203 1
1.0%
195 1
1.0%
139 1
1.0%
116 1
1.0%
108 1
1.0%
59 1
1.0%
48 1
1.0%
46 1
1.0%
45 1
1.0%

45-49세
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)34.4%
Missing37
Missing (%)37.8%
Infinite0
Infinite (%)0.0%
Mean22.393443
Minimum1
Maximum683
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1010.0 B
2024-03-14T18:37:06.552126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q310
95-th percentile58
Maximum683
Range682
Interquartile range (IQR)9

Descriptive statistics

Standard deviation88.329361
Coefficient of variation (CV)3.9444297
Kurtosis54.502046
Mean22.393443
Median Absolute Deviation (MAD)2
Skewness7.2249612
Sum1366
Variance7802.076
MonotonicityNot monotonic
2024-03-14T18:37:06.759153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1 20
20.4%
2 8
 
8.2%
5 4
 
4.1%
8 4
 
4.1%
3 4
 
4.1%
4 4
 
4.1%
11 2
 
2.0%
22 2
 
2.0%
42 1
 
1.0%
7 1
 
1.0%
Other values (11) 11
 
11.2%
(Missing) 37
37.8%
ValueCountFrequency (%)
1 20
20.4%
2 8
 
8.2%
3 4
 
4.1%
4 4
 
4.1%
5 4
 
4.1%
7 1
 
1.0%
8 4
 
4.1%
10 1
 
1.0%
11 2
 
2.0%
22 2
 
2.0%
ValueCountFrequency (%)
683 1
1.0%
118 1
1.0%
64 1
1.0%
58 1
1.0%
44 1
1.0%
43 1
1.0%
42 1
1.0%
36 1
1.0%
32 1
1.0%
24 1
1.0%

50-54세
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)28.1%
Missing41
Missing (%)41.8%
Infinite0
Infinite (%)0.0%
Mean15.929825
Minimum1
Maximum454
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1010.0 B
2024-03-14T18:37:07.056221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q36
95-th percentile55.6
Maximum454
Range453
Interquartile range (IQR)5

Descriptive statistics

Standard deviation61.534793
Coefficient of variation (CV)3.8628669
Kurtosis47.963546
Mean15.929825
Median Absolute Deviation (MAD)1
Skewness6.7278595
Sum908
Variance3786.5307
MonotonicityNot monotonic
2024-03-14T18:37:07.246081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1 24
24.5%
2 6
 
6.1%
3 4
 
4.1%
4 4
 
4.1%
5 4
 
4.1%
9 3
 
3.1%
6 2
 
2.0%
17 2
 
2.0%
88 1
 
1.0%
14 1
 
1.0%
Other values (6) 6
 
6.1%
(Missing) 41
41.8%
ValueCountFrequency (%)
1 24
24.5%
2 6
 
6.1%
3 4
 
4.1%
4 4
 
4.1%
5 4
 
4.1%
6 2
 
2.0%
8 1
 
1.0%
9 3
 
3.1%
14 1
 
1.0%
17 2
 
2.0%
ValueCountFrequency (%)
454 1
 
1.0%
88 1
 
1.0%
86 1
 
1.0%
48 1
 
1.0%
35 1
 
1.0%
18 1
 
1.0%
17 2
2.0%
14 1
 
1.0%
9 3
3.1%
8 1
 
1.0%

55-59세
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)29.5%
Missing54
Missing (%)55.1%
Infinite0
Infinite (%)0.0%
Mean13
Minimum1
Maximum286
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1010.0 B
2024-03-14T18:37:07.426905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q35.25
95-th percentile43.25
Maximum286
Range285
Interquartile range (IQR)4.25

Descriptive statistics

Standard deviation44.174601
Coefficient of variation (CV)3.3980462
Kurtosis35.907787
Mean13
Median Absolute Deviation (MAD)1
Skewness5.8195003
Sum572
Variance1951.3953
MonotonicityNot monotonic
2024-03-14T18:37:07.615608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 18
 
18.4%
2 7
 
7.1%
5 6
 
6.1%
3 2
 
2.0%
11 2
 
2.0%
8 2
 
2.0%
286 1
 
1.0%
47 1
 
1.0%
19 1
 
1.0%
10 1
 
1.0%
Other values (3) 3
 
3.1%
(Missing) 54
55.1%
ValueCountFrequency (%)
1 18
18.4%
2 7
 
7.1%
3 2
 
2.0%
5 6
 
6.1%
6 1
 
1.0%
8 2
 
2.0%
10 1
 
1.0%
11 2
 
2.0%
19 1
 
1.0%
22 1
 
1.0%
ValueCountFrequency (%)
286 1
 
1.0%
76 1
 
1.0%
47 1
 
1.0%
22 1
 
1.0%
19 1
 
1.0%
11 2
 
2.0%
10 1
 
1.0%
8 2
 
2.0%
6 1
 
1.0%
5 6
6.1%

60-64세
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)40.7%
Missing71
Missing (%)72.4%
Infinite0
Infinite (%)0.0%
Mean12.222222
Minimum1
Maximum165
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1010.0 B
2024-03-14T18:37:07.817627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q37
95-th percentile43.4
Maximum165
Range164
Interquartile range (IQR)6

Descriptive statistics

Standard deviation32.479974
Coefficient of variation (CV)2.6574524
Kurtosis20.432759
Mean12.222222
Median Absolute Deviation (MAD)1
Skewness4.3658441
Sum330
Variance1054.9487
MonotonicityNot monotonic
2024-03-14T18:37:08.003846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 12
 
12.2%
2 3
 
3.1%
3 2
 
2.0%
4 2
 
2.0%
7 2
 
2.0%
165 1
 
1.0%
12 1
 
1.0%
42 1
 
1.0%
11 1
 
1.0%
10 1
 
1.0%
(Missing) 71
72.4%
ValueCountFrequency (%)
1 12
12.2%
2 3
 
3.1%
3 2
 
2.0%
4 2
 
2.0%
7 2
 
2.0%
10 1
 
1.0%
11 1
 
1.0%
12 1
 
1.0%
42 1
 
1.0%
44 1
 
1.0%
ValueCountFrequency (%)
165 1
 
1.0%
44 1
 
1.0%
42 1
 
1.0%
12 1
 
1.0%
11 1
 
1.0%
10 1
 
1.0%
7 2
2.0%
4 2
2.0%
3 2
2.0%
2 3
3.1%

65-69세
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)45.5%
Missing76
Missing (%)77.6%
Infinite0
Infinite (%)0.0%
Mean7.0909091
Minimum1
Maximum78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1010.0 B
2024-03-14T18:37:08.280143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q35.5
95-th percentile14.95
Maximum78
Range77
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation16.387885
Coefficient of variation (CV)2.311112
Kurtosis18.764494
Mean7.0909091
Median Absolute Deviation (MAD)1
Skewness4.2198706
Sum156
Variance268.56277
MonotonicityNot monotonic
2024-03-14T18:37:08.486791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 10
 
10.2%
2 3
 
3.1%
3 2
 
2.0%
78 1
 
1.0%
7 1
 
1.0%
15 1
 
1.0%
10 1
 
1.0%
4 1
 
1.0%
6 1
 
1.0%
14 1
 
1.0%
(Missing) 76
77.6%
ValueCountFrequency (%)
1 10
10.2%
2 3
 
3.1%
3 2
 
2.0%
4 1
 
1.0%
6 1
 
1.0%
7 1
 
1.0%
10 1
 
1.0%
14 1
 
1.0%
15 1
 
1.0%
78 1
 
1.0%
ValueCountFrequency (%)
78 1
 
1.0%
15 1
 
1.0%
14 1
 
1.0%
10 1
 
1.0%
7 1
 
1.0%
6 1
 
1.0%
4 1
 
1.0%
3 2
 
2.0%
2 3
 
3.1%
1 10
10.2%

70-74세
Categorical

IMBALANCE 

Distinct6
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size912.0 B
<NA>
83 
1
 
7
2
 
5
24
 
1
3
 
1

Length

Max length4
Median length4
Mean length3.5510204
Min length1

Unique

Unique3 ?
Unique (%)3.1%

Sample

1st row24
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 83
84.7%
1 7
 
7.1%
2 5
 
5.1%
24 1
 
1.0%
3 1
 
1.0%
4 1
 
1.0%

Length

2024-03-14T18:37:08.721576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:37:08.910368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 83
84.7%
1 7
 
7.1%
2 5
 
5.1%
24 1
 
1.0%
3 1
 
1.0%
4 1
 
1.0%

75-79세
Categorical

IMBALANCE 

Distinct5
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size912.0 B
<NA>
88 
1
 
6
2
 
2
13
 
1
3
 
1

Length

Max length4
Median length4
Mean length3.7040816
Min length1

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st row13
2nd row<NA>
3rd row<NA>
4th row1
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 88
89.8%
1 6
 
6.1%
2 2
 
2.0%
13 1
 
1.0%
3 1
 
1.0%

Length

2024-03-14T18:37:09.112221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:37:09.353861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 88
89.8%
1 6
 
6.1%
2 2
 
2.0%
13 1
 
1.0%
3 1
 
1.0%

80-84세
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size912.0 B
<NA>
96 
1
 
2

Length

Max length4
Median length4
Mean length3.9387755
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 96
98.0%
1 2
 
2.0%

Length

2024-03-14T18:37:09.590214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:37:09.760672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 96
98.0%
1 2
 
2.0%

85-89세
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size912.0 B
<NA>
94 
1
 
3
3
 
1

Length

Max length4
Median length4
Mean length3.877551
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row3
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 94
95.9%
1 3
 
3.1%
3 1
 
1.0%

Length

2024-03-14T18:37:09.934733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:37:10.104490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 94
95.9%
1 3
 
3.1%
3 1
 
1.0%

90-94세
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size912.0 B
<NA>
96 
1
 
2

Length

Max length4
Median length4
Mean length3.9387755
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 96
98.0%
1 2
 
2.0%

Length

2024-03-14T18:37:10.297716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:37:10.486992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 96
98.0%
1 2
 
2.0%

일운면
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)45.8%
Missing74
Missing (%)75.5%
Infinite0
Infinite (%)0.0%
Mean13.666667
Minimum1
Maximum164
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1010.0 B
2024-03-14T18:37:10.697127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q35.5
95-th percentile48.25
Maximum164
Range163
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation34.405089
Coefficient of variation (CV)2.5174455
Kurtosis17.258498
Mean13.666667
Median Absolute Deviation (MAD)2
Skewness4.0077125
Sum328
Variance1183.7101
MonotonicityNot monotonic
2024-03-14T18:37:10.889213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 8
 
8.2%
2 3
 
3.1%
3 3
 
3.1%
4 3
 
3.1%
164 1
 
1.0%
5 1
 
1.0%
44 1
 
1.0%
7 1
 
1.0%
49 1
 
1.0%
15 1
 
1.0%
(Missing) 74
75.5%
ValueCountFrequency (%)
1 8
8.2%
2 3
 
3.1%
3 3
 
3.1%
4 3
 
3.1%
5 1
 
1.0%
7 1
 
1.0%
9 1
 
1.0%
15 1
 
1.0%
44 1
 
1.0%
49 1
 
1.0%
ValueCountFrequency (%)
164 1
 
1.0%
49 1
 
1.0%
44 1
 
1.0%
15 1
 
1.0%
9 1
 
1.0%
7 1
 
1.0%
5 1
 
1.0%
4 3
3.1%
3 3
3.1%
2 3
3.1%

동부면
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)90.0%
Missing88
Missing (%)89.8%
Infinite0
Infinite (%)0.0%
Mean30
Minimum1
Maximum150
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1010.0 B
2024-03-14T18:37:11.082512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.45
Q12.25
median8.5
Q340
95-th percentile105.45
Maximum150
Range149
Interquartile range (IQR)37.75

Descriptive statistics

Standard deviation46.084464
Coefficient of variation (CV)1.5361488
Kurtosis5.8509679
Mean30
Median Absolute Deviation (MAD)7
Skewness2.3116569
Sum300
Variance2123.7778
MonotonicityNot monotonic
2024-03-14T18:37:11.271895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2 2
 
2.0%
150 1
 
1.0%
51 1
 
1.0%
13 1
 
1.0%
43 1
 
1.0%
3 1
 
1.0%
31 1
 
1.0%
1 1
 
1.0%
4 1
 
1.0%
(Missing) 88
89.8%
ValueCountFrequency (%)
1 1
1.0%
2 2
2.0%
3 1
1.0%
4 1
1.0%
13 1
1.0%
31 1
1.0%
43 1
1.0%
51 1
1.0%
150 1
1.0%
ValueCountFrequency (%)
150 1
1.0%
51 1
1.0%
43 1
1.0%
31 1
1.0%
13 1
1.0%
4 1
1.0%
3 1
1.0%
2 2
2.0%
1 1
1.0%

남부면
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)80.0%
Missing88
Missing (%)89.8%
Infinite0
Infinite (%)0.0%
Mean15.4
Minimum1
Maximum77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1010.0 B
2024-03-14T18:37:11.468251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.25
median3.5
Q315.75
95-th percentile59.45
Maximum77
Range76
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation24.581836
Coefficient of variation (CV)1.5962231
Kurtosis4.5448032
Mean15.4
Median Absolute Deviation (MAD)2.5
Skewness2.1532876
Sum154
Variance604.26667
MonotonicityNot monotonic
2024-03-14T18:37:11.699739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 3
 
3.1%
77 1
 
1.0%
18 1
 
1.0%
9 1
 
1.0%
38 1
 
1.0%
2 1
 
1.0%
3 1
 
1.0%
4 1
 
1.0%
(Missing) 88
89.8%
ValueCountFrequency (%)
1 3
3.1%
2 1
 
1.0%
3 1
 
1.0%
4 1
 
1.0%
9 1
 
1.0%
18 1
 
1.0%
38 1
 
1.0%
77 1
 
1.0%
ValueCountFrequency (%)
77 1
 
1.0%
38 1
 
1.0%
18 1
 
1.0%
9 1
 
1.0%
4 1
 
1.0%
3 1
 
1.0%
2 1
 
1.0%
1 3
3.1%

거제면
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)50.0%
Missing78
Missing (%)79.6%
Infinite0
Infinite (%)0.0%
Mean16.2
Minimum1
Maximum162
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1010.0 B
2024-03-14T18:37:11.960558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q37.25
95-th percentile74.6
Maximum162
Range161
Interquartile range (IQR)5.25

Descriptive statistics

Standard deviation38.013294
Coefficient of variation (CV)2.3464996
Kurtosis12.408325
Mean16.2
Median Absolute Deviation (MAD)1
Skewness3.4269129
Sum324
Variance1445.0105
MonotonicityNot monotonic
2024-03-14T18:37:12.160999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2 7
 
7.1%
1 4
 
4.1%
3 2
 
2.0%
162 1
 
1.0%
70 1
 
1.0%
7 1
 
1.0%
15 1
 
1.0%
4 1
 
1.0%
34 1
 
1.0%
8 1
 
1.0%
(Missing) 78
79.6%
ValueCountFrequency (%)
1 4
4.1%
2 7
7.1%
3 2
 
2.0%
4 1
 
1.0%
7 1
 
1.0%
8 1
 
1.0%
15 1
 
1.0%
34 1
 
1.0%
70 1
 
1.0%
162 1
 
1.0%
ValueCountFrequency (%)
162 1
 
1.0%
70 1
 
1.0%
34 1
 
1.0%
15 1
 
1.0%
8 1
 
1.0%
7 1
 
1.0%
4 1
 
1.0%
3 2
 
2.0%
2 7
7.1%
1 4
4.1%

둔덕면
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)66.7%
Missing86
Missing (%)87.8%
Infinite0
Infinite (%)0.0%
Mean28
Minimum1
Maximum168
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1010.0 B
2024-03-14T18:37:12.362556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median5
Q321.25
95-th percentile125.65
Maximum168
Range167
Interquartile range (IQR)20.25

Descriptive statistics

Standard deviation50.886683
Coefficient of variation (CV)1.8173815
Kurtosis5.4421149
Mean28
Median Absolute Deviation (MAD)4
Skewness2.3745616
Sum336
Variance2589.4545
MonotonicityNot monotonic
2024-03-14T18:37:12.547935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 5
 
5.1%
168 1
 
1.0%
20 1
 
1.0%
17 1
 
1.0%
91 1
 
1.0%
8 1
 
1.0%
2 1
 
1.0%
25 1
 
1.0%
(Missing) 86
87.8%
ValueCountFrequency (%)
1 5
5.1%
2 1
 
1.0%
8 1
 
1.0%
17 1
 
1.0%
20 1
 
1.0%
25 1
 
1.0%
91 1
 
1.0%
168 1
 
1.0%
ValueCountFrequency (%)
168 1
 
1.0%
91 1
 
1.0%
25 1
 
1.0%
20 1
 
1.0%
17 1
 
1.0%
8 1
 
1.0%
2 1
 
1.0%
1 5
5.1%

사등면
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)60.7%
Missing70
Missing (%)71.4%
Infinite0
Infinite (%)0.0%
Mean26.071429
Minimum1
Maximum365
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1010.0 B
2024-03-14T18:37:12.756608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median5.5
Q318.5
95-th percentile91.3
Maximum365
Range364
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation70.429333
Coefficient of variation (CV)2.7013991
Kurtosis21.606082
Mean26.071429
Median Absolute Deviation (MAD)4.5
Skewness4.5135402
Sum730
Variance4960.291
MonotonicityNot monotonic
2024-03-14T18:37:13.045745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
1 9
 
9.2%
2 2
 
2.0%
5 2
 
2.0%
6 2
 
2.0%
9 1
 
1.0%
18 1
 
1.0%
7 1
 
1.0%
12 1
 
1.0%
24 1
 
1.0%
17 1
 
1.0%
Other values (7) 7
 
7.1%
(Missing) 70
71.4%
ValueCountFrequency (%)
1 9
9.2%
2 2
 
2.0%
4 1
 
1.0%
5 2
 
2.0%
6 2
 
2.0%
7 1
 
1.0%
9 1
 
1.0%
12 1
 
1.0%
17 1
 
1.0%
18 1
 
1.0%
ValueCountFrequency (%)
365 1
1.0%
120 1
1.0%
38 1
1.0%
33 1
1.0%
28 1
1.0%
24 1
1.0%
20 1
1.0%
18 1
1.0%
17 1
1.0%
12 1
1.0%

연초면
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)45.0%
Missing58
Missing (%)59.2%
Infinite0
Infinite (%)0.0%
Mean31.75
Minimum1
Maximum635
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1010.0 B
2024-03-14T18:37:13.244428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4.5
Q317.75
95-th percentile71.8
Maximum635
Range634
Interquartile range (IQR)15.75

Descriptive statistics

Standard deviation101.58709
Coefficient of variation (CV)3.1995932
Kurtosis33.995311
Mean31.75
Median Absolute Deviation (MAD)2.5
Skewness5.674113
Sum1270
Variance10319.936
MonotonicityNot monotonic
2024-03-14T18:37:13.446054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
2 9
 
9.2%
4 5
 
5.1%
7 4
 
4.1%
1 4
 
4.1%
20 2
 
2.0%
52 2
 
2.0%
3 2
 
2.0%
5 2
 
2.0%
144 1
 
1.0%
36 1
 
1.0%
Other values (8) 8
 
8.2%
(Missing) 58
59.2%
ValueCountFrequency (%)
1 4
4.1%
2 9
9.2%
3 2
 
2.0%
4 5
5.1%
5 2
 
2.0%
7 4
4.1%
10 1
 
1.0%
12 1
 
1.0%
13 1
 
1.0%
17 1
 
1.0%
ValueCountFrequency (%)
635 1
1.0%
144 1
1.0%
68 1
1.0%
60 1
1.0%
52 2
2.0%
45 1
1.0%
36 1
1.0%
20 2
2.0%
17 1
1.0%
13 1
1.0%

하청면
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)70.6%
Missing81
Missing (%)82.7%
Infinite0
Infinite (%)0.0%
Mean18.705882
Minimum1
Maximum159
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1010.0 B
2024-03-14T18:37:13.639487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median6
Q313
95-th percentile60.6
Maximum159
Range158
Interquartile range (IQR)11

Descriptive statistics

Standard deviation37.735535
Coefficient of variation (CV)2.0173085
Kurtosis13.777092
Mean18.705882
Median Absolute Deviation (MAD)5
Skewness3.5968655
Sum318
Variance1423.9706
MonotonicityNot monotonic
2024-03-14T18:37:13.841426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 4
 
4.1%
5 2
 
2.0%
9 2
 
2.0%
159 1
 
1.0%
13 1
 
1.0%
2 1
 
1.0%
24 1
 
1.0%
32 1
 
1.0%
3 1
 
1.0%
36 1
 
1.0%
Other values (2) 2
 
2.0%
(Missing) 81
82.7%
ValueCountFrequency (%)
1 4
4.1%
2 1
 
1.0%
3 1
 
1.0%
5 2
2.0%
6 1
 
1.0%
9 2
2.0%
11 1
 
1.0%
13 1
 
1.0%
24 1
 
1.0%
32 1
 
1.0%
ValueCountFrequency (%)
159 1
1.0%
36 1
1.0%
32 1
1.0%
24 1
1.0%
13 1
1.0%
11 1
1.0%
9 2
2.0%
6 1
1.0%
5 2
2.0%
3 1
1.0%

장목면
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)45.0%
Missing78
Missing (%)79.6%
Infinite0
Infinite (%)0.0%
Mean16.5
Minimum1
Maximum165
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1010.0 B
2024-03-14T18:37:14.044249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q35.5
95-th percentile83.3
Maximum165
Range164
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation39.679638
Coefficient of variation (CV)2.4048266
Kurtosis11.108151
Mean16.5
Median Absolute Deviation (MAD)1
Skewness3.2619966
Sum330
Variance1574.4737
MonotonicityNot monotonic
2024-03-14T18:37:14.314487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 8
 
8.2%
2 4
 
4.1%
5 2
 
2.0%
165 1
 
1.0%
41 1
 
1.0%
7 1
 
1.0%
79 1
 
1.0%
3 1
 
1.0%
9 1
 
1.0%
(Missing) 78
79.6%
ValueCountFrequency (%)
1 8
8.2%
2 4
4.1%
3 1
 
1.0%
5 2
 
2.0%
7 1
 
1.0%
9 1
 
1.0%
41 1
 
1.0%
79 1
 
1.0%
165 1
 
1.0%
ValueCountFrequency (%)
165 1
 
1.0%
79 1
 
1.0%
41 1
 
1.0%
9 1
 
1.0%
7 1
 
1.0%
5 2
 
2.0%
3 1
 
1.0%
2 4
4.1%
1 8
8.2%

장승포동
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)70.8%
Missing74
Missing (%)75.5%
Infinite0
Infinite (%)0.0%
Mean47.166667
Minimum1
Maximum566
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1010.0 B
2024-03-14T18:37:14.504859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.75
median5.5
Q324.5
95-th percentile207.15
Maximum566
Range565
Interquartile range (IQR)22.75

Descriptive statistics

Standard deviation121.07765
Coefficient of variation (CV)2.5670173
Kurtosis15.92017
Mean47.166667
Median Absolute Deviation (MAD)4.5
Skewness3.8608056
Sum1132
Variance14659.797
MonotonicityNot monotonic
2024-03-14T18:37:14.898056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
1 6
 
6.1%
3 3
 
3.1%
8 1
 
1.0%
7 1
 
1.0%
6 1
 
1.0%
2 1
 
1.0%
5 1
 
1.0%
61 1
 
1.0%
11 1
 
1.0%
566 1
 
1.0%
Other values (7) 7
 
7.1%
(Missing) 74
75.5%
ValueCountFrequency (%)
1 6
6.1%
2 1
 
1.0%
3 3
3.1%
4 1
 
1.0%
5 1
 
1.0%
6 1
 
1.0%
7 1
 
1.0%
8 1
 
1.0%
9 1
 
1.0%
11 1
 
1.0%
ValueCountFrequency (%)
566 1
1.0%
231 1
1.0%
72 1
1.0%
69 1
1.0%
61 1
1.0%
50 1
1.0%
16 1
1.0%
11 1
1.0%
9 1
1.0%
8 1
1.0%

능포동
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)50.0%
Missing68
Missing (%)69.4%
Infinite0
Infinite (%)0.0%
Mean16
Minimum1
Maximum240
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1010.0 B
2024-03-14T18:37:15.097066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median4
Q311.5
95-th percentile39.5
Maximum240
Range239
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation43.627736
Coefficient of variation (CV)2.7267335
Kurtosis26.158034
Mean16
Median Absolute Deviation (MAD)3
Skewness4.9912728
Sum480
Variance1903.3793
MonotonicityNot monotonic
2024-03-14T18:37:15.356469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
1 10
 
10.2%
4 4
 
4.1%
13 2
 
2.0%
5 2
 
2.0%
7 2
 
2.0%
240 1
 
1.0%
27 1
 
1.0%
2 1
 
1.0%
34 1
 
1.0%
24 1
 
1.0%
Other values (5) 5
 
5.1%
(Missing) 68
69.4%
ValueCountFrequency (%)
1 10
10.2%
2 1
 
1.0%
3 1
 
1.0%
4 4
 
4.1%
5 2
 
2.0%
7 2
 
2.0%
8 1
 
1.0%
10 1
 
1.0%
12 1
 
1.0%
13 2
 
2.0%
ValueCountFrequency (%)
240 1
1.0%
44 1
1.0%
34 1
1.0%
27 1
1.0%
24 1
1.0%
13 2
2.0%
12 1
1.0%
10 1
1.0%
8 1
1.0%
7 2
2.0%

아주동
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)43.3%
Missing38
Missing (%)38.8%
Infinite0
Infinite (%)0.0%
Mean86.933333
Minimum1
Maximum2608
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1010.0 B
2024-03-14T18:37:15.588433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median4
Q318.5
95-th percentile333.7
Maximum2608
Range2607
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation348.73461
Coefficient of variation (CV)4.0115177
Kurtosis48.184058
Mean86.933333
Median Absolute Deviation (MAD)3
Skewness6.687527
Sum5216
Variance121615.83
MonotonicityNot monotonic
2024-03-14T18:37:15.800905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 17
17.3%
2 9
 
9.2%
6 4
 
4.1%
3 3
 
3.1%
4 3
 
3.1%
8 2
 
2.0%
33 2
 
2.0%
9 2
 
2.0%
16 1
 
1.0%
282 1
 
1.0%
Other values (16) 16
16.3%
(Missing) 38
38.8%
ValueCountFrequency (%)
1 17
17.3%
2 9
9.2%
3 3
 
3.1%
4 3
 
3.1%
5 1
 
1.0%
6 4
 
4.1%
7 1
 
1.0%
8 2
 
2.0%
9 2
 
2.0%
15 1
 
1.0%
ValueCountFrequency (%)
2608 1
1.0%
552 1
1.0%
461 1
1.0%
327 1
1.0%
282 1
1.0%
243 1
1.0%
210 1
1.0%
77 1
1.0%
71 1
1.0%
52 1
1.0%

옥포1동
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)42.6%
Missing37
Missing (%)37.8%
Infinite0
Infinite (%)0.0%
Mean30.393443
Minimum1
Maximum927
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1010.0 B
2024-03-14T18:37:16.009448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q318
95-th percentile77
Maximum927
Range926
Interquartile range (IQR)16

Descriptive statistics

Standard deviation119.61386
Coefficient of variation (CV)3.9355154
Kurtosis55.013616
Mean30.393443
Median Absolute Deviation (MAD)4
Skewness7.267221
Sum1854
Variance14307.476
MonotonicityNot monotonic
2024-03-14T18:37:16.213506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 13
 
13.3%
2 8
 
8.2%
3 5
 
5.1%
6 4
 
4.1%
4 3
 
3.1%
7 3
 
3.1%
8 3
 
3.1%
13 2
 
2.0%
18 2
 
2.0%
5 2
 
2.0%
Other values (16) 16
16.3%
(Missing) 37
37.8%
ValueCountFrequency (%)
1 13
13.3%
2 8
8.2%
3 5
 
5.1%
4 3
 
3.1%
5 2
 
2.0%
6 4
 
4.1%
7 3
 
3.1%
8 3
 
3.1%
9 1
 
1.0%
13 2
 
2.0%
ValueCountFrequency (%)
927 1
1.0%
130 1
1.0%
117 1
1.0%
77 1
1.0%
64 1
1.0%
60 1
1.0%
58 1
1.0%
41 1
1.0%
35 1
1.0%
26 1
1.0%

옥포2동
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)36.8%
Missing30
Missing (%)30.6%
Infinite0
Infinite (%)0.0%
Mean18.352941
Minimum1
Maximum624
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1010.0 B
2024-03-14T18:37:16.410028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q310.25
95-th percentile34.25
Maximum624
Range623
Interquartile range (IQR)9.25

Descriptive statistics

Standard deviation76.885603
Coefficient of variation (CV)4.1892797
Kurtosis59.835399
Mean18.352941
Median Absolute Deviation (MAD)2
Skewness7.5790635
Sum1248
Variance5911.396
MonotonicityNot monotonic
2024-03-14T18:37:16.707725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 25
25.5%
2 6
 
6.1%
9 6
 
6.1%
3 5
 
5.1%
11 2
 
2.0%
8 2
 
2.0%
7 2
 
2.0%
4 2
 
2.0%
16 2
 
2.0%
17 1
 
1.0%
Other values (15) 15
15.3%
(Missing) 30
30.6%
ValueCountFrequency (%)
1 25
25.5%
2 6
 
6.1%
3 5
 
5.1%
4 2
 
2.0%
5 1
 
1.0%
6 1
 
1.0%
7 2
 
2.0%
8 2
 
2.0%
9 6
 
6.1%
10 1
 
1.0%
ValueCountFrequency (%)
624 1
1.0%
145 1
1.0%
38 1
1.0%
36 1
1.0%
31 1
1.0%
24 1
1.0%
23 1
1.0%
22 1
1.0%
21 1
1.0%
20 1
1.0%

장평동
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)52.8%
Missing26
Missing (%)26.5%
Infinite0
Infinite (%)0.0%
Mean106.69444
Minimum1
Maximum3841
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1010.0 B
2024-03-14T18:37:16.944415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.75
median8.5
Q340
95-th percentile441.4
Maximum3841
Range3840
Interquartile range (IQR)37.25

Descriptive statistics

Standard deviation465.25706
Coefficient of variation (CV)4.3606493
Kurtosis60.560414
Mean106.69444
Median Absolute Deviation (MAD)7.5
Skewness7.5484392
Sum7682
Variance216464.13
MonotonicityNot monotonic
2024-03-14T18:37:17.188427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
1 11
 
11.2%
2 7
 
7.1%
3 6
 
6.1%
5 5
 
5.1%
9 4
 
4.1%
4 4
 
4.1%
40 2
 
2.0%
16 2
 
2.0%
10 2
 
2.0%
28 1
 
1.0%
Other values (28) 28
28.6%
(Missing) 26
26.5%
ValueCountFrequency (%)
1 11
11.2%
2 7
7.1%
3 6
6.1%
4 4
 
4.1%
5 5
5.1%
6 1
 
1.0%
7 1
 
1.0%
8 1
 
1.0%
9 4
 
4.1%
10 2
 
2.0%
ValueCountFrequency (%)
3841 1
1.0%
737 1
1.0%
598 1
1.0%
503 1
1.0%
391 1
1.0%
152 1
1.0%
143 1
1.0%
126 1
1.0%
122 1
1.0%
103 1
1.0%

고현동
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)41.5%
Missing57
Missing (%)58.2%
Infinite0
Infinite (%)0.0%
Mean27.853659
Minimum1
Maximum571
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1010.0 B
2024-03-14T18:37:17.405140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q314
95-th percentile107
Maximum571
Range570
Interquartile range (IQR)13

Descriptive statistics

Standard deviation91.98276
Coefficient of variation (CV)3.3023583
Kurtosis32.165002
Mean27.853659
Median Absolute Deviation (MAD)2
Skewness5.4669591
Sum1142
Variance8460.828
MonotonicityNot monotonic
2024-03-14T18:37:17.594014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
1 13
 
13.3%
2 7
 
7.1%
4 3
 
3.1%
3 3
 
3.1%
18 2
 
2.0%
14 2
 
2.0%
24 1
 
1.0%
136 1
 
1.0%
5 1
 
1.0%
101 1
 
1.0%
Other values (7) 7
 
7.1%
(Missing) 57
58.2%
ValueCountFrequency (%)
1 13
13.3%
2 7
7.1%
3 3
 
3.1%
4 3
 
3.1%
5 1
 
1.0%
6 1
 
1.0%
9 1
 
1.0%
10 1
 
1.0%
14 2
 
2.0%
18 2
 
2.0%
ValueCountFrequency (%)
571 1
1.0%
136 1
1.0%
107 1
1.0%
101 1
1.0%
41 1
1.0%
24 1
1.0%
20 1
1.0%
18 2
2.0%
14 2
2.0%
10 1
1.0%

상문동
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)59.1%
Missing76
Missing (%)77.6%
Infinite0
Infinite (%)0.0%
Mean16.272727
Minimum1
Maximum179
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1010.0 B
2024-03-14T18:37:17.882434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.25
median3
Q38.75
95-th percentile66
Maximum179
Range178
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation39.240627
Coefficient of variation (CV)2.4114352
Kurtosis15.478281
Mean16.272727
Median Absolute Deviation (MAD)2
Skewness3.820265
Sum358
Variance1539.8268
MonotonicityNot monotonic
2024-03-14T18:37:18.081345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 6
 
6.1%
3 3
 
3.1%
2 3
 
3.1%
179 1
 
1.0%
7 1
 
1.0%
4 1
 
1.0%
68 1
 
1.0%
8 1
 
1.0%
9 1
 
1.0%
5 1
 
1.0%
Other values (3) 3
 
3.1%
(Missing) 76
77.6%
ValueCountFrequency (%)
1 6
6.1%
2 3
3.1%
3 3
3.1%
4 1
 
1.0%
5 1
 
1.0%
7 1
 
1.0%
8 1
 
1.0%
9 1
 
1.0%
12 1
 
1.0%
17 1
 
1.0%
ValueCountFrequency (%)
179 1
1.0%
68 1
1.0%
28 1
1.0%
17 1
1.0%
12 1
1.0%
9 1
1.0%
8 1
1.0%
7 1
1.0%
5 1
1.0%
4 1
1.0%

수양동
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)44.8%
Missing69
Missing (%)70.4%
Infinite0
Infinite (%)0.0%
Mean11.862069
Minimum1
Maximum172
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1010.0 B
2024-03-14T18:37:18.282618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q37
95-th percentile45.2
Maximum172
Range171
Interquartile range (IQR)6

Descriptive statistics

Standard deviation33.120693
Coefficient of variation (CV)2.7921514
Kurtosis21.161894
Mean11.862069
Median Absolute Deviation (MAD)1
Skewness4.4804434
Sum344
Variance1096.9803
MonotonicityNot monotonic
2024-03-14T18:37:18.474844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 11
 
11.2%
2 5
 
5.1%
4 2
 
2.0%
3 2
 
2.0%
172 1
 
1.0%
9 1
 
1.0%
10 1
 
1.0%
13 1
 
1.0%
7 1
 
1.0%
66 1
 
1.0%
Other values (3) 3
 
3.1%
(Missing) 69
70.4%
ValueCountFrequency (%)
1 11
11.2%
2 5
5.1%
3 2
 
2.0%
4 2
 
2.0%
6 1
 
1.0%
7 1
 
1.0%
9 1
 
1.0%
10 1
 
1.0%
12 1
 
1.0%
13 1
 
1.0%
ValueCountFrequency (%)
172 1
1.0%
66 1
1.0%
14 1
1.0%
13 1
1.0%
12 1
1.0%
10 1
1.0%
9 1
1.0%
7 1
1.0%
6 1
1.0%
4 2
2.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size912.0 B
2023-12-31
98 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-12-31
2nd row2023-12-31
3rd row2023-12-31
4th row2023-12-31
5th row2023-12-31

Common Values

ValueCountFrequency (%)
2023-12-31 98
100.0%

Length

2024-03-14T18:37:18.692933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:37:18.883712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-12-31 98
100.0%

Sample

구분계(2023년 기준)남여0-4세05-09세10-14세15-19세20-24세25-29세30-34세35-39세40-44세45-49세50-54세55-59세60-64세65-69세70-74세75-79세80-84세85-89세90-94세일운면동부면남부면거제면둔덕면사등면연초면하청면장목면장승포동능포동아주동옥포1동옥포2동장평동고현동상문동수양동데이터기준일자
0합계1177397312042135140115130940203628182395135668345428616578241313116415077162168365635159165566240260892762438415711791722023-12-31
1가나66<NA><NA><NA><NA><NA>12<NA>2<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>4<NA>1<NA><NA><NA><NA><NA>1<NA><NA><NA>2023-12-31
2감비아22<NA><NA><NA><NA><NA><NA>1<NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA>1<NA><NA><NA>2023-12-31
3그리스3229312<NA><NA><NA>527612131<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA>21883<NA><NA><NA>2023-12-31
4기니66<NA><NA><NA><NA><NA>24<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2<NA><NA><NA><NA>2<NA><NA>2<NA><NA><NA>2023-12-31
5나이지리아171341<NA>1<NA><NA><NA><NA>6612<NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA>4<NA><NA><NA><NA>2712<NA><NA><NA>2023-12-31
6남아프리카공화국422121<NA><NA><NA><NA>21283356111<NA><NA><NA><NA><NA>5<NA><NA><NA><NA><NA>2<NA><NA><NA><NA>63293392023-12-31
7네덜란드77<NA><NA><NA><NA><NA><NA><NA>11<NA><NA><NA>131<NA><NA><NA><NA>1<NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA>21<NA><NA><NA>22023-12-31
8네팔94993118<NA>1<NA><NA>7722038320948821<NA><NA><NA><NA><NA><NA><NA>2<NA><NA>2133601316927552251014347<NA>2023-12-31
9노르웨이3737<NA><NA><NA><NA><NA>5354255232<NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>26351<NA>22023-12-31
구분계(2023년 기준)남여0-4세05-09세10-14세15-19세20-24세25-29세30-34세35-39세40-44세45-49세50-54세55-59세60-64세65-69세70-74세75-79세80-84세85-89세90-94세일운면동부면남부면거제면둔덕면사등면연초면하청면장목면장승포동능포동아주동옥포1동옥포2동장평동고현동상문동수양동데이터기준일자
88파키스탄52511<NA><NA><NA><NA>49211521<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA>1<NA>14711<NA>2023-12-31
89페루11<NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA>2023-12-31
90포르투갈22<NA><NA><NA><NA><NA>1<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>1<NA><NA><NA>2023-12-31
91폴란드32302<NA>2<NA><NA><NA>22311731<NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>8119<NA><NA>42023-12-31
92프랑스1018912661<NA>1131515168981<NA>2<NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA>11<NA>26016181<NA>12023-12-31
93핀란드55<NA><NA><NA><NA><NA><NA>2<NA><NA><NA>1<NA><NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>311<NA><NA><NA>2023-12-31
94필리핀326922346<NA>4474988784122186<NA>1<NA>2<NA><NA><NA>9113<NA>620926101813031361812142023-12-31
95한국계러시아인4222<NA><NA><NA><NA><NA><NA><NA><NA>1<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>2<NA><NA>12023-12-31
96한국계중국인407212195984<NA>61120384542867644144<NA><NA><NA><NA>44181181711743521241021361762023-12-31
97홍콩22<NA><NA><NA><NA><NA><NA><NA><NA>11<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>2023-12-31