Overview

Dataset statistics

Number of variables21
Number of observations74
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.6 KiB
Average record size in memory188.8 B

Variable types

Text1
Numeric19
DateTime1

Dataset

Description2023년 12월 기준 경상남도 거제시 외국인 인구현황 자료로, 남, 여, 5세 단위 구분, 각 면동 별 인구를 국적 별로 분류하였습니다.
Author경상남도 거제시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3079542

Alerts

기준일자 has constant value ""Constant
국적 has unique valuesUnique
일운면 has 53 (71.6%) zerosZeros
동부면 has 65 (87.8%) zerosZeros
남부면 has 64 (86.5%) zerosZeros
거제면 has 57 (77.0%) zerosZeros
둔덕면 has 63 (85.1%) zerosZeros
사등면 has 50 (67.6%) zerosZeros
연초면 has 54 (73.0%) zerosZeros
하청면 has 57 (77.0%) zerosZeros
장목면 has 59 (79.7%) zerosZeros
장승포동 has 55 (74.3%) zerosZeros
능포동 has 57 (77.0%) zerosZeros
아주동 has 41 (55.4%) zerosZeros
옥포1동 has 28 (37.8%) zerosZeros
옥포2동 has 21 (28.4%) zerosZeros
장평동 has 25 (33.8%) zerosZeros
고현동 has 48 (64.9%) zerosZeros
상문동 has 50 (67.6%) zerosZeros
수양동 has 46 (62.2%) zerosZeros

Reproduction

Analysis started2024-04-16 07:02:54.629333
Analysis finished2024-04-16 07:02:54.799305
Duration0.17 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

국적
Text

UNIQUE 

Distinct74
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size724.0 B
2024-04-16T16:02:54.958729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length3.8783784
Min length2

Characters and Unicode

Total characters287
Distinct characters116
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

Unique74 ?
Unique (%)100.0%

Sample

1st row가나
2nd row그리스
3rd row나이지리아
4th row남아프리카공화국
5th row네덜란드
ValueCountFrequency (%)
가나 1
 
1.4%
캄보디아 1
 
1.4%
중국 1
 
1.4%
조지아 1
 
1.4%
일본 1
 
1.4%
인도네시아 1
 
1.4%
인도 1
 
1.4%
이탈리아 1
 
1.4%
이집트 1
 
1.4%
이란 1
 
1.4%
Other values (64) 64
86.5%
2024-04-16T16:02:55.281878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 19
 
6.6%
리 11
 
3.8%
스 10
 
3.5%
이 10
 
3.5%
국 10
 
3.5%
르 8
 
2.8%
드 6
 
2.1%
라 6
 
2.1%
시 6
 
2.1%
도 5
 
1.7%
Other values (106) 196
68.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 285
99.3%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 19
 
6.7%
리 11
 
3.9%
스 10
 
3.5%
이 10
 
3.5%
국 10
 
3.5%
르 8
 
2.8%
드 6
 
2.1%
라 6
 
2.1%
시 6
 
2.1%
도 5
 
1.8%
Other values (104) 194
68.1%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 285
99.3%
Common 2
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 19
 
6.7%
리 11
 
3.9%
스 10
 
3.5%
이 10
 
3.5%
국 10
 
3.5%
르 8
 
2.8%
드 6
 
2.1%
라 6
 
2.1%
시 6
 
2.1%
도 5
 
1.8%
Other values (104) 194
68.1%
Common
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 285
99.3%
ASCII 2
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 19
 
6.7%
리 11
 
3.9%
스 10
 
3.5%
이 10
 
3.5%
국 10
 
3.5%
르 8
 
2.8%
드 6
 
2.1%
라 6
 
2.1%
시 6
 
2.1%
도 5
 
1.8%
Other values (104) 194
68.1%
ASCII
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

합계
Real number (ℝ)

Distinct42
Distinct (%)56.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean80
Minimum1
Maximum1077
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2024-04-16T16:02:55.389228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median11
Q376.25
95-th percentile390
Maximum1077
Range1076
Interquartile range (IQR)72.25

Descriptive statistics

Standard deviation162.85097
Coefficient of variation (CV)2.0356371
Kurtosis19.346535
Mean80
Median Absolute Deviation (MAD)10
Skewness3.8578735
Sum5920
Variance26520.438
MonotonicityNot monotonic
2024-04-16T16:02:55.491651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
1 10
 
13.5%
7 5
 
6.8%
6 5
 
6.8%
5 4
 
5.4%
2 4
 
5.4%
4 3
 
4.1%
3 3
 
4.1%
390 2
 
2.7%
11 2
 
2.7%
21 2
 
2.7%
Other values (32) 34
45.9%
ValueCountFrequency (%)
1 10
13.5%
2 4
 
5.4%
3 3
 
4.1%
4 3
 
4.1%
5 4
 
5.4%
6 5
6.8%
7 5
6.8%
9 1
 
1.4%
10 1
 
1.4%
11 2
 
2.7%
ValueCountFrequency (%)
1077 1
1.4%
523 1
1.4%
403 1
1.4%
390 2
2.7%
284 1
1.4%
278 1
1.4%
264 1
1.4%
223 1
1.4%
214 1
1.4%
202 1
1.4%

일운면
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7162162
Minimum0
Maximum33
Zeros53
Zeros (%)71.6%
Negative0
Negative (%)0.0%
Memory size798.0 B
2024-04-16T16:02:55.578633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile6.35
Maximum33
Range33
Interquartile range (IQR)1

Descriptive statistics

Standard deviation5.8298248
Coefficient of variation (CV)3.3969058
Kurtosis19.848752
Mean1.7162162
Median Absolute Deviation (MAD)0
Skewness4.4829409
Sum127
Variance33.986857
MonotonicityNot monotonic
2024-04-16T16:02:55.664892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 53
71.6%
1 10
 
13.5%
2 3
 
4.1%
3 2
 
2.7%
7 1
 
1.4%
33 1
 
1.4%
28 1
 
1.4%
26 1
 
1.4%
5 1
 
1.4%
6 1
 
1.4%
ValueCountFrequency (%)
0 53
71.6%
1 10
 
13.5%
2 3
 
4.1%
3 2
 
2.7%
5 1
 
1.4%
6 1
 
1.4%
7 1
 
1.4%
26 1
 
1.4%
28 1
 
1.4%
33 1
 
1.4%
ValueCountFrequency (%)
33 1
 
1.4%
28 1
 
1.4%
26 1
 
1.4%
7 1
 
1.4%
6 1
 
1.4%
5 1
 
1.4%
3 2
 
2.7%
2 3
 
4.1%
1 10
 
13.5%
0 53
71.6%

동부면
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4594595
Minimum0
Maximum41
Zeros65
Zeros (%)87.8%
Negative0
Negative (%)0.0%
Memory size798.0 B
2024-04-16T16:02:55.750188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5.45
Maximum41
Range41
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.20691
Coefficient of variation (CV)4.2528827
Kurtosis27.936969
Mean1.4594595
Median Absolute Deviation (MAD)0
Skewness5.161345
Sum108
Variance38.525731
MonotonicityNot monotonic
2024-04-16T16:02:55.844424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 65
87.8%
3 2
 
2.7%
1 2
 
2.7%
41 1
 
1.4%
10 1
 
1.4%
2 1
 
1.4%
29 1
 
1.4%
18 1
 
1.4%
ValueCountFrequency (%)
0 65
87.8%
1 2
 
2.7%
2 1
 
1.4%
3 2
 
2.7%
10 1
 
1.4%
18 1
 
1.4%
29 1
 
1.4%
41 1
 
1.4%
ValueCountFrequency (%)
41 1
 
1.4%
29 1
 
1.4%
18 1
 
1.4%
10 1
 
1.4%
3 2
 
2.7%
2 1
 
1.4%
1 2
 
2.7%
0 65
87.8%

남부면
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1216216
Minimum0
Maximum44
Zeros64
Zeros (%)86.5%
Negative0
Negative (%)0.0%
Memory size798.0 B
2024-04-16T16:02:55.960408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4.7
Maximum44
Range44
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.4192774
Coefficient of variation (CV)4.8316449
Kurtosis55.553838
Mean1.1216216
Median Absolute Deviation (MAD)0
Skewness7.1558493
Sum83
Variance29.368567
MonotonicityNot monotonic
2024-04-16T16:02:56.063537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 64
86.5%
1 3
 
4.1%
13 1
 
1.4%
8 1
 
1.4%
44 1
 
1.4%
2 1
 
1.4%
6 1
 
1.4%
4 1
 
1.4%
3 1
 
1.4%
ValueCountFrequency (%)
0 64
86.5%
1 3
 
4.1%
2 1
 
1.4%
3 1
 
1.4%
4 1
 
1.4%
6 1
 
1.4%
8 1
 
1.4%
13 1
 
1.4%
44 1
 
1.4%
ValueCountFrequency (%)
44 1
 
1.4%
13 1
 
1.4%
8 1
 
1.4%
6 1
 
1.4%
4 1
 
1.4%
3 1
 
1.4%
2 1
 
1.4%
1 3
 
4.1%
0 64
86.5%

거제면
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1621622
Minimum0
Maximum19
Zeros57
Zeros (%)77.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2024-04-16T16:02:56.168699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6.7
Maximum19
Range19
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.412415
Coefficient of variation (CV)2.9362641
Kurtosis17.785939
Mean1.1621622
Median Absolute Deviation (MAD)0
Skewness4.0860241
Sum86
Variance11.644576
MonotonicityNot monotonic
2024-04-16T16:02:56.262264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 57
77.0%
1 5
 
6.8%
3 4
 
5.4%
2 2
 
2.7%
18 1
 
1.4%
6 1
 
1.4%
4 1
 
1.4%
10 1
 
1.4%
19 1
 
1.4%
8 1
 
1.4%
ValueCountFrequency (%)
0 57
77.0%
1 5
 
6.8%
2 2
 
2.7%
3 4
 
5.4%
4 1
 
1.4%
6 1
 
1.4%
8 1
 
1.4%
10 1
 
1.4%
18 1
 
1.4%
19 1
 
1.4%
ValueCountFrequency (%)
19 1
 
1.4%
18 1
 
1.4%
10 1
 
1.4%
8 1
 
1.4%
6 1
 
1.4%
4 1
 
1.4%
3 4
 
5.4%
2 2
 
2.7%
1 5
 
6.8%
0 57
77.0%

둔덕면
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4459459
Minimum0
Maximum92
Zeros63
Zeros (%)85.1%
Negative0
Negative (%)0.0%
Memory size798.0 B
2024-04-16T16:02:56.369390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile13.75
Maximum92
Range92
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.520252
Coefficient of variation (CV)4.7099375
Kurtosis51.639154
Mean2.4459459
Median Absolute Deviation (MAD)0
Skewness6.8418752
Sum181
Variance132.71622
MonotonicityNot monotonic
2024-04-16T16:02:56.464938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 63
85.1%
1 4
 
5.4%
26 1
 
1.4%
12 1
 
1.4%
92 1
 
1.4%
17 1
 
1.4%
3 1
 
1.4%
23 1
 
1.4%
4 1
 
1.4%
ValueCountFrequency (%)
0 63
85.1%
1 4
 
5.4%
3 1
 
1.4%
4 1
 
1.4%
12 1
 
1.4%
17 1
 
1.4%
23 1
 
1.4%
26 1
 
1.4%
92 1
 
1.4%
ValueCountFrequency (%)
92 1
 
1.4%
26 1
 
1.4%
23 1
 
1.4%
17 1
 
1.4%
12 1
 
1.4%
4 1
 
1.4%
3 1
 
1.4%
1 4
 
5.4%
0 63
85.1%

사등면
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4459459
Minimum0
Maximum60
Zeros50
Zeros (%)67.6%
Negative0
Negative (%)0.0%
Memory size798.0 B
2024-04-16T16:02:56.547282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile12.7
Maximum60
Range60
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.9020405
Coefficient of variation (CV)3.2306685
Kurtosis39.573667
Mean2.4459459
Median Absolute Deviation (MAD)0
Skewness5.8047943
Sum181
Variance62.442244
MonotonicityNot monotonic
2024-04-16T16:02:56.631307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 50
67.6%
1 9
 
12.2%
4 3
 
4.1%
2 3
 
4.1%
60 1
 
1.4%
22 1
 
1.4%
5 1
 
1.4%
17 1
 
1.4%
8 1
 
1.4%
12 1
 
1.4%
Other values (3) 3
 
4.1%
ValueCountFrequency (%)
0 50
67.6%
1 9
 
12.2%
2 3
 
4.1%
4 3
 
4.1%
5 1
 
1.4%
7 1
 
1.4%
8 1
 
1.4%
9 1
 
1.4%
12 1
 
1.4%
14 1
 
1.4%
ValueCountFrequency (%)
60 1
 
1.4%
22 1
 
1.4%
17 1
 
1.4%
14 1
 
1.4%
12 1
 
1.4%
9 1
 
1.4%
8 1
 
1.4%
7 1
 
1.4%
5 1
 
1.4%
4 3
4.1%

연초면
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2027027
Minimum0
Maximum85
Zeros54
Zeros (%)73.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2024-04-16T16:02:56.940043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile25
Maximum85
Range85
Interquartile range (IQR)1

Descriptive statistics

Standard deviation12.209338
Coefficient of variation (CV)2.9051158
Kurtosis26.767456
Mean4.2027027
Median Absolute Deviation (MAD)0
Skewness4.6486413
Sum311
Variance149.06794
MonotonicityNot monotonic
2024-04-16T16:02:57.016571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 54
73.0%
1 5
 
6.8%
25 3
 
4.1%
2 2
 
2.7%
17 2
 
2.7%
8 1
 
1.4%
4 1
 
1.4%
5 1
 
1.4%
85 1
 
1.4%
38 1
 
1.4%
Other values (3) 3
 
4.1%
ValueCountFrequency (%)
0 54
73.0%
1 5
 
6.8%
2 2
 
2.7%
4 1
 
1.4%
5 1
 
1.4%
8 1
 
1.4%
15 1
 
1.4%
17 2
 
2.7%
18 1
 
1.4%
20 1
 
1.4%
ValueCountFrequency (%)
85 1
 
1.4%
38 1
 
1.4%
25 3
4.1%
20 1
 
1.4%
18 1
 
1.4%
17 2
2.7%
15 1
 
1.4%
8 1
 
1.4%
5 1
 
1.4%
4 1
 
1.4%

하청면
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6621622
Minimum0
Maximum36
Zeros57
Zeros (%)77.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2024-04-16T16:02:57.102297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8.05
Maximum36
Range36
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.6502565
Coefficient of variation (CV)3.3993413
Kurtosis23.226773
Mean1.6621622
Median Absolute Deviation (MAD)0
Skewness4.6717421
Sum123
Variance31.925398
MonotonicityNot monotonic
2024-04-16T16:02:57.189770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 57
77.0%
1 5
 
6.8%
3 4
 
5.4%
2 2
 
2.7%
25 1
 
1.4%
20 1
 
1.4%
4 1
 
1.4%
36 1
 
1.4%
10 1
 
1.4%
7 1
 
1.4%
ValueCountFrequency (%)
0 57
77.0%
1 5
 
6.8%
2 2
 
2.7%
3 4
 
5.4%
4 1
 
1.4%
7 1
 
1.4%
10 1
 
1.4%
20 1
 
1.4%
25 1
 
1.4%
36 1
 
1.4%
ValueCountFrequency (%)
36 1
 
1.4%
25 1
 
1.4%
20 1
 
1.4%
10 1
 
1.4%
7 1
 
1.4%
4 1
 
1.4%
3 4
 
5.4%
2 2
 
2.7%
1 5
 
6.8%
0 57
77.0%

장목면
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0540541
Minimum0
Maximum72
Zeros59
Zeros (%)79.7%
Negative0
Negative (%)0.0%
Memory size798.0 B
2024-04-16T16:02:57.281767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6.35
Maximum72
Range72
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.2097207
Coefficient of variation (CV)4.4836798
Kurtosis48.040892
Mean2.0540541
Median Absolute Deviation (MAD)0
Skewness6.6637581
Sum152
Variance84.818956
MonotonicityNot monotonic
2024-04-16T16:02:57.374454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 59
79.7%
1 4
 
5.4%
3 3
 
4.1%
4 2
 
2.7%
7 1
 
1.4%
32 1
 
1.4%
6 1
 
1.4%
72 1
 
1.4%
12 1
 
1.4%
2 1
 
1.4%
ValueCountFrequency (%)
0 59
79.7%
1 4
 
5.4%
2 1
 
1.4%
3 3
 
4.1%
4 2
 
2.7%
6 1
 
1.4%
7 1
 
1.4%
12 1
 
1.4%
32 1
 
1.4%
72 1
 
1.4%
ValueCountFrequency (%)
72 1
 
1.4%
32 1
 
1.4%
12 1
 
1.4%
7 1
 
1.4%
6 1
 
1.4%
4 2
 
2.7%
3 3
 
4.1%
2 1
 
1.4%
1 4
 
5.4%
0 59
79.7%

장승포동
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.5
Minimum0
Maximum149
Zeros55
Zeros (%)74.3%
Negative0
Negative (%)0.0%
Memory size798.0 B
2024-04-16T16:02:57.473878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.75
95-th percentile18.8
Maximum149
Range149
Interquartile range (IQR)0.75

Descriptive statistics

Standard deviation18.982508
Coefficient of variation (CV)4.2183351
Kurtosis47.722041
Mean4.5
Median Absolute Deviation (MAD)0
Skewness6.5614234
Sum333
Variance360.33562
MonotonicityNot monotonic
2024-04-16T16:02:57.563028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 55
74.3%
2 4
 
5.4%
1 3
 
4.1%
6 2
 
2.7%
4 2
 
2.7%
38 1
 
1.4%
24 1
 
1.4%
149 1
 
1.4%
55 1
 
1.4%
3 1
 
1.4%
Other values (3) 3
 
4.1%
ValueCountFrequency (%)
0 55
74.3%
1 3
 
4.1%
2 4
 
5.4%
3 1
 
1.4%
4 2
 
2.7%
5 1
 
1.4%
6 2
 
2.7%
12 1
 
1.4%
16 1
 
1.4%
24 1
 
1.4%
ValueCountFrequency (%)
149 1
1.4%
55 1
1.4%
38 1
1.4%
24 1
1.4%
16 1
1.4%
12 1
1.4%
6 2
2.7%
5 1
1.4%
4 2
2.7%
3 1
1.4%

능포동
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0405405
Minimum0
Maximum15
Zeros57
Zeros (%)77.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2024-04-16T16:02:57.654588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5.35
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.6246419
Coefficient of variation (CV)2.5223831
Kurtosis12.598767
Mean1.0405405
Median Absolute Deviation (MAD)0
Skewness3.3373486
Sum77
Variance6.8887449
MonotonicityNot monotonic
2024-04-16T16:02:57.760263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 57
77.0%
1 4
 
5.4%
5 4
 
5.4%
2 3
 
4.1%
9 1
 
1.4%
3 1
 
1.4%
15 1
 
1.4%
10 1
 
1.4%
6 1
 
1.4%
4 1
 
1.4%
ValueCountFrequency (%)
0 57
77.0%
1 4
 
5.4%
2 3
 
4.1%
3 1
 
1.4%
4 1
 
1.4%
5 4
 
5.4%
6 1
 
1.4%
9 1
 
1.4%
10 1
 
1.4%
15 1
 
1.4%
ValueCountFrequency (%)
15 1
 
1.4%
10 1
 
1.4%
9 1
 
1.4%
6 1
 
1.4%
5 4
 
5.4%
4 1
 
1.4%
3 1
 
1.4%
2 3
 
4.1%
1 4
 
5.4%
0 57
77.0%

아주동
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.445946
Minimum0
Maximum179
Zeros41
Zeros (%)55.4%
Negative0
Negative (%)0.0%
Memory size798.0 B
2024-04-16T16:02:57.871073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile66.85
Maximum179
Range179
Interquartile range (IQR)2

Descriptive statistics

Standard deviation35.498849
Coefficient of variation (CV)3.1014343
Kurtosis14.074275
Mean11.445946
Median Absolute Deviation (MAD)0
Skewness3.8578471
Sum847
Variance1260.1683
MonotonicityNot monotonic
2024-04-16T16:02:57.987726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 41
55.4%
2 9
 
12.2%
1 8
 
10.8%
25 2
 
2.7%
6 2
 
2.7%
144 1
 
1.4%
24 1
 
1.4%
28 1
 
1.4%
26 1
 
1.4%
10 1
 
1.4%
Other values (7) 7
 
9.5%
ValueCountFrequency (%)
0 41
55.4%
1 8
 
10.8%
2 9
 
12.2%
4 1
 
1.4%
6 2
 
2.7%
9 1
 
1.4%
10 1
 
1.4%
15 1
 
1.4%
22 1
 
1.4%
24 1
 
1.4%
ValueCountFrequency (%)
179 1
1.4%
159 1
1.4%
144 1
1.4%
139 1
1.4%
28 1
1.4%
26 1
1.4%
25 2
2.7%
24 1
1.4%
22 1
1.4%
15 1
1.4%

옥포1동
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)32.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.8378378
Minimum0
Maximum85
Zeros28
Zeros (%)37.8%
Negative0
Negative (%)0.0%
Memory size798.0 B
2024-04-16T16:02:58.085766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q38
95-th percentile49.05
Maximum85
Range85
Interquartile range (IQR)8

Descriptive statistics

Standard deviation18.253937
Coefficient of variation (CV)1.8554826
Kurtosis5.721671
Mean9.8378378
Median Absolute Deviation (MAD)1
Skewness2.4127147
Sum728
Variance333.20622
MonotonicityNot monotonic
2024-04-16T16:02:58.174046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 28
37.8%
1 11
 
14.9%
2 4
 
5.4%
4 4
 
5.4%
5 3
 
4.1%
8 2
 
2.7%
19 2
 
2.7%
28 2
 
2.7%
6 2
 
2.7%
3 2
 
2.7%
Other values (14) 14
18.9%
ValueCountFrequency (%)
0 28
37.8%
1 11
 
14.9%
2 4
 
5.4%
3 2
 
2.7%
4 4
 
5.4%
5 3
 
4.1%
6 2
 
2.7%
8 2
 
2.7%
9 1
 
1.4%
10 1
 
1.4%
ValueCountFrequency (%)
85 1
1.4%
77 1
1.4%
57 1
1.4%
51 1
1.4%
48 1
1.4%
44 1
1.4%
42 1
1.4%
36 1
1.4%
33 1
1.4%
28 2
2.7%

옥포2동
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)32.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.5
Minimum0
Maximum57
Zeros21
Zeros (%)28.4%
Negative0
Negative (%)0.0%
Memory size798.0 B
2024-04-16T16:02:58.256434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.5
Q36.75
95-th percentile34.35
Maximum57
Range57
Interquartile range (IQR)6.75

Descriptive statistics

Standard deviation12.163554
Coefficient of variation (CV)1.6218072
Kurtosis5.2116973
Mean7.5
Median Absolute Deviation (MAD)2.5
Skewness2.2939503
Sum555
Variance147.95205
MonotonicityNot monotonic
2024-04-16T16:02:58.347340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 21
28.4%
1 11
14.9%
3 6
 
8.1%
5 6
 
8.1%
2 5
 
6.8%
4 4
 
5.4%
34 2
 
2.7%
24 2
 
2.7%
6 2
 
2.7%
35 1
 
1.4%
Other values (14) 14
18.9%
ValueCountFrequency (%)
0 21
28.4%
1 11
14.9%
2 5
 
6.8%
3 6
 
8.1%
4 4
 
5.4%
5 6
 
8.1%
6 2
 
2.7%
7 1
 
1.4%
8 1
 
1.4%
9 1
 
1.4%
ValueCountFrequency (%)
57 1
1.4%
51 1
1.4%
37 1
1.4%
35 1
1.4%
34 2
2.7%
24 2
2.7%
22 1
1.4%
21 1
1.4%
20 1
1.4%
19 1
1.4%

장평동
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)37.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.716216
Minimum0
Maximum216
Zeros25
Zeros (%)33.8%
Negative0
Negative (%)0.0%
Memory size798.0 B
2024-04-16T16:02:58.460392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q313.75
95-th percentile62.1
Maximum216
Range216
Interquartile range (IQR)13.75

Descriptive statistics

Standard deviation35.965174
Coefficient of variation (CV)2.2884117
Kurtosis18.064034
Mean15.716216
Median Absolute Deviation (MAD)2
Skewness3.9868091
Sum1163
Variance1293.4937
MonotonicityNot monotonic
2024-04-16T16:02:58.564359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 25
33.8%
1 10
 
13.5%
2 5
 
6.8%
3 3
 
4.1%
7 3
 
4.1%
5 3
 
4.1%
9 2
 
2.7%
14 2
 
2.7%
4 2
 
2.7%
51 1
 
1.4%
Other values (18) 18
24.3%
ValueCountFrequency (%)
0 25
33.8%
1 10
 
13.5%
2 5
 
6.8%
3 3
 
4.1%
4 2
 
2.7%
5 3
 
4.1%
7 3
 
4.1%
9 2
 
2.7%
12 1
 
1.4%
13 1
 
1.4%
ValueCountFrequency (%)
216 1
1.4%
179 1
1.4%
98 1
1.4%
66 1
1.4%
60 1
1.4%
55 1
1.4%
51 1
1.4%
45 1
1.4%
43 1
1.4%
37 1
1.4%

고현동
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)20.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.3243243
Minimum0
Maximum136
Zeros48
Zeros (%)64.9%
Negative0
Negative (%)0.0%
Memory size798.0 B
2024-04-16T16:02:58.651736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.75
95-th percentile29.45
Maximum136
Range136
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation21.983872
Coefficient of variation (CV)3.4760823
Kurtosis22.250045
Mean6.3243243
Median Absolute Deviation (MAD)0
Skewness4.6356831
Sum468
Variance483.29063
MonotonicityNot monotonic
2024-04-16T16:02:58.744040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 48
64.9%
1 7
 
9.5%
2 5
 
6.8%
6 2
 
2.7%
3 2
 
2.7%
7 1
 
1.4%
83 1
 
1.4%
15 1
 
1.4%
5 1
 
1.4%
34 1
 
1.4%
Other values (5) 5
 
6.8%
ValueCountFrequency (%)
0 48
64.9%
1 7
 
9.5%
2 5
 
6.8%
3 2
 
2.7%
5 1
 
1.4%
6 2
 
2.7%
7 1
 
1.4%
8 1
 
1.4%
15 1
 
1.4%
17 1
 
1.4%
ValueCountFrequency (%)
136 1
1.4%
101 1
1.4%
83 1
1.4%
34 1
1.4%
27 1
1.4%
17 1
1.4%
15 1
1.4%
8 1
1.4%
7 1
1.4%
6 2
2.7%

상문동
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1216216
Minimum0
Maximum58
Zeros50
Zeros (%)67.6%
Negative0
Negative (%)0.0%
Memory size798.0 B
2024-04-16T16:02:58.831497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile10.35
Maximum58
Range58
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.6801696
Coefficient of variation (CV)3.6199526
Kurtosis40.572202
Mean2.1216216
Median Absolute Deviation (MAD)0
Skewness6.0243038
Sum157
Variance58.985006
MonotonicityNot monotonic
2024-04-16T16:02:58.913113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 50
67.6%
1 9
 
12.2%
2 6
 
8.1%
3 2
 
2.7%
5 2
 
2.7%
58 1
 
1.4%
10 1
 
1.4%
28 1
 
1.4%
13 1
 
1.4%
11 1
 
1.4%
ValueCountFrequency (%)
0 50
67.6%
1 9
 
12.2%
2 6
 
8.1%
3 2
 
2.7%
5 2
 
2.7%
10 1
 
1.4%
11 1
 
1.4%
13 1
 
1.4%
28 1
 
1.4%
58 1
 
1.4%
ValueCountFrequency (%)
58 1
 
1.4%
28 1
 
1.4%
13 1
 
1.4%
11 1
 
1.4%
10 1
 
1.4%
5 2
 
2.7%
3 2
 
2.7%
2 6
 
8.1%
1 9
 
12.2%
0 50
67.6%

수양동
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)14.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2432432
Minimum0
Maximum113
Zeros46
Zeros (%)62.2%
Negative0
Negative (%)0.0%
Memory size798.0 B
2024-04-16T16:02:59.000424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile14
Maximum113
Range113
Interquartile range (IQR)1

Descriptive statistics

Standard deviation13.571536
Coefficient of variation (CV)4.184557
Kurtosis60.580562
Mean3.2432432
Median Absolute Deviation (MAD)0
Skewness7.5056151
Sum240
Variance184.1866
MonotonicityNot monotonic
2024-04-16T16:02:59.101063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 46
62.2%
1 13
 
17.6%
3 3
 
4.1%
14 3
 
4.1%
10 2
 
2.7%
2 2
 
2.7%
7 1
 
1.4%
5 1
 
1.4%
113 1
 
1.4%
23 1
 
1.4%
ValueCountFrequency (%)
0 46
62.2%
1 13
 
17.6%
2 2
 
2.7%
3 3
 
4.1%
4 1
 
1.4%
5 1
 
1.4%
7 1
 
1.4%
10 2
 
2.7%
14 3
 
4.1%
23 1
 
1.4%
ValueCountFrequency (%)
113 1
 
1.4%
23 1
 
1.4%
14 3
 
4.1%
10 2
 
2.7%
7 1
 
1.4%
5 1
 
1.4%
4 1
 
1.4%
3 3
 
4.1%
2 2
 
2.7%
1 13
17.6%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size724.0 B
Minimum2021-09-30 00:00:00
Maximum2021-09-30 00:00:00
2024-04-16T16:02:59.190550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T16:02:59.264231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

국적합계일운면동부면남부면거제면둔덕면사등면연초면하청면장목면장승포동능포동아주동옥포1동옥포2동장평동고현동상문동수양동기준일자
0가나10000000010000000002021-09-30
1그리스5000010000000233570202021-09-30
2나이지리아61000000000001040002021-09-30
3남아프리카공화국210000010000091402312021-09-30
4네덜란드111000000000004500012021-09-30
5네팔26400011180038917945160202021-09-30
6노르웨이2400000000000010751012021-09-30
7뉴질랜드100010010000013111012021-09-30
8덴마크40000000000003100002021-09-30
9도미니카공화국20000000000000020002021-09-30
국적합계일운면동부면남부면거제면둔덕면사등면연초면하청면장목면장승포동능포동아주동옥포1동옥포2동장평동고현동상문동수양동기준일자
64티모르민주공화국801184192321330500001002021-09-30
65파키스탄2800000000000001791102021-09-30
66페루40000000000010300002021-09-30
67포르투갈90000000000011400302021-09-30
68폴란드70000000000001120032021-09-30
69프랑스223300100001200285573730232021-09-30
70핀란드30000000000001010012021-09-30
71필리핀278611307151344257734432713142021-09-30
72한국계러시아인60000000000000050012021-09-30
73한국계중국인40333384141722165241934981361142021-09-30