Overview

Dataset statistics

Number of variables9
Number of observations34
Missing cells6
Missing cells (%)2.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory78.9 B

Variable types

Text5
Numeric3
DateTime1

Dataset

Description경상남도 거제시 관공서현황(면동, 기관명, 주소, 위도, 경도, 연락처, 기준일자)등에 대한 정보를 제공합니다.
Author경상남도 거제시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15013606

Alerts

기준일자 has constant value ""Constant
우편번호 is highly overall correlated with 위도High correlation
위도 is highly overall correlated with 우편번호High correlation
팩스 has 6 (17.6%) missing valuesMissing
기관명 has unique valuesUnique
연락처 has unique valuesUnique

Reproduction

Analysis started2024-04-17 16:23:49.284064
Analysis finished2024-04-17 16:23:50.308391
Duration1.02 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

면동
Text

Distinct20
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-04-18T01:23:50.379841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0882353
Min length3

Characters and Unicode

Total characters105
Distinct characters34
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

Unique17 ?
Unique (%)50.0%

Sample

1st row고현동
2nd row일운면
3rd row동부면
4th row남부면
5th row거제면
ValueCountFrequency (%)
고현동 11
32.4%
양정동 3
 
8.8%
옥포동 3
 
8.8%
옥포1동 1
 
2.9%
남부면 1
 
2.9%
아주동 1
 
2.9%
동부면 1
 
2.9%
수양동 1
 
2.9%
상문동 1
 
2.9%
장평동 1
 
2.9%
Other values (10) 10
29.4%
2024-04-18T01:23:50.605993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 26
24.8%
고 11
10.5%
현 11
10.5%
면 9
 
8.6%
포 7
 
6.7%
옥 5
 
4.8%
양 4
 
3.8%
장 3
 
2.9%
정 3
 
2.9%
부 2
 
1.9%
Other values (24) 24
22.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 103
98.1%
Decimal Number 2
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 26
25.2%
고 11
10.7%
현 11
10.7%
면 9
 
8.7%
포 7
 
6.8%
옥 5
 
4.9%
양 4
 
3.9%
장 3
 
2.9%
정 3
 
2.9%
부 2
 
1.9%
Other values (22) 22
21.4%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 103
98.1%
Common 2
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 26
25.2%
고 11
10.7%
현 11
10.7%
면 9
 
8.7%
포 7
 
6.8%
옥 5
 
4.9%
양 4
 
3.9%
장 3
 
2.9%
정 3
 
2.9%
부 2
 
1.9%
Other values (22) 22
21.4%
Common
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 103
98.1%
ASCII 2
 
1.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 26
25.2%
고 11
10.7%
현 11
10.7%
면 9
 
8.7%
포 7
 
6.8%
옥 5
 
4.9%
양 4
 
3.9%
장 3
 
2.9%
정 3
 
2.9%
부 2
 
1.9%
Other values (22) 22
21.4%
ASCII
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%

기관명
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-04-18T01:23:50.782977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length11
Mean length7.9117647
Min length4

Characters and Unicode

Total characters269
Distinct characters83
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)100.0%

Sample

1st row거제시청
2nd row일운면사무소
3rd row동부면사무소
4th row남부면사무소
5th row거제면사무소
ValueCountFrequency (%)
창원지방법원 2
 
5.4%
거제시청 1
 
2.7%
장목면사무소 1
 
2.7%
통영지원 1
 
2.7%
거제시법원 1
 
2.7%
거제등기소 1
 
2.7%
거제시선거관리위원회 1
 
2.7%
거제소방서 1
 
2.7%
거제경찰서 1
 
2.7%
일운면사무소 1
 
2.7%
Other values (26) 26
70.3%
2024-04-18T01:23:51.270248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
거 17
 
6.3%
제 16
 
5.9%
사 13
 
4.8%
소 12
 
4.5%
지 11
 
4.1%
터 11
 
4.1%
센 11
 
4.1%
동 10
 
3.7%
원 9
 
3.3%
주 9
 
3.3%
Other values (73) 150
55.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 262
97.4%
Space Separator 3
 
1.1%
Decimal Number 2
 
0.7%
Open Punctuation 1
 
0.4%
Close Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
거 17
 
6.5%
제 16
 
6.1%
사 13
 
5.0%
소 12
 
4.6%
지 11
 
4.2%
터 11
 
4.2%
센 11
 
4.2%
동 10
 
3.8%
원 9
 
3.4%
주 9
 
3.4%
Other values (68) 143
54.6%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 262
97.4%
Common 7
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
거 17
 
6.5%
제 16
 
6.1%
사 13
 
5.0%
소 12
 
4.6%
지 11
 
4.2%
터 11
 
4.2%
센 11
 
4.2%
동 10
 
3.8%
원 9
 
3.4%
주 9
 
3.4%
Other values (68) 143
54.6%
Common
ValueCountFrequency (%)
3
42.9%
( 1
 
14.3%
) 1
 
14.3%
1 1
 
14.3%
2 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 262
97.4%
ASCII 7
 
2.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
거 17
 
6.5%
제 16
 
6.1%
사 13
 
5.0%
소 12
 
4.6%
지 11
 
4.2%
터 11
 
4.2%
센 11
 
4.2%
동 10
 
3.8%
원 9
 
3.4%
주 9
 
3.4%
Other values (68) 143
54.6%
ASCII
ValueCountFrequency (%)
3
42.9%
( 1
 
14.3%
) 1
 
14.3%
1 1
 
14.3%
2 1
 
14.3%

우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct27
Distinct (%)79.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53260.471
Minimum53201
Maximum53333
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-04-18T01:23:51.369232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum53201
5-th percentile53209.2
Q153241.5
median53256
Q353279.75
95-th percentile53329.05
Maximum53333
Range132
Interquartile range (IQR)38.25

Descriptive statistics

Standard deviation35.728128
Coefficient of variation (CV)0.00067081885
Kurtosis-0.29263375
Mean53260.471
Median Absolute Deviation (MAD)22.5
Skewness0.57458816
Sum1810856
Variance1276.4991
MonotonicityNot monotonic
2024-04-18T01:23:51.461585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
53257 3
 
8.8%
53256 3
 
8.8%
53252 2
 
5.9%
53244 2
 
5.9%
53224 2
 
5.9%
53281 1
 
2.9%
53294 1
 
2.9%
53254 1
 
2.9%
53258 1
 
2.9%
53331 1
 
2.9%
Other values (17) 17
50.0%
ValueCountFrequency (%)
53201 1
2.9%
53204 1
2.9%
53212 1
2.9%
53224 2
5.9%
53225 1
2.9%
53229 1
2.9%
53230 1
2.9%
53241 1
2.9%
53243 1
2.9%
53244 2
5.9%
ValueCountFrequency (%)
53333 1
2.9%
53331 1
2.9%
53328 1
2.9%
53320 1
2.9%
53313 1
2.9%
53304 1
2.9%
53294 1
2.9%
53286 1
2.9%
53281 1
2.9%
53276 1
2.9%

주소
Text

Distinct32
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-04-18T01:23:51.649349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length25
Mean length22.823529
Min length18

Characters and Unicode

Total characters776
Distinct characters76
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)88.2%

Sample

1st row경상남도 거제시 계룡로 125(고현동，거제시청)
2nd row경상남도 거제시 일운면 지세포4길 7
3rd row경상남도 거제시 동부면 동부로 16
4th row경상남도 거제시 남부면 남부해안로 30
5th row경상남도 거제시 거제면 서상길 1
ValueCountFrequency (%)
경상남도 34
22.4%
거제시 34
22.4%
거제중앙로 4
 
2.6%
계룡로 3
 
2.0%
32(고현동 2
 
1.3%
45(양정동 2
 
1.3%
거제중앙로31길 2
 
1.3%
양정1길 2
 
1.3%
1641(상동동 1
 
0.7%
84(옥포동 1
 
0.7%
Other values (67) 67
44.1%
2024-04-18T01:23:51.957413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
118
 
15.2%
제 48
 
6.2%
거 46
 
5.9%
남 37
 
4.8%
상 36
 
4.6%
시 36
 
4.6%
경 34
 
4.4%
도 34
 
4.4%
동 30
 
3.9%
로 28
 
3.6%
Other values (66) 329
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 497
64.0%
Space Separator 118
 
15.2%
Decimal Number 103
 
13.3%
Close Punctuation 25
 
3.2%
Open Punctuation 25
 
3.2%
Other Punctuation 5
 
0.6%
Dash Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 48
 
9.7%
거 46
 
9.3%
남 37
 
7.4%
상 36
 
7.2%
시 36
 
7.2%
경 34
 
6.8%
도 34
 
6.8%
동 30
 
6.0%
로 28
 
5.6%
길 15
 
3.0%
Other values (51) 153
30.8%
Decimal Number
ValueCountFrequency (%)
1 28
27.2%
2 17
16.5%
4 13
12.6%
3 10
 
9.7%
5 8
 
7.8%
6 8
 
7.8%
0 6
 
5.8%
8 5
 
4.9%
7 5
 
4.9%
9 3
 
2.9%
Space Separator
ValueCountFrequency (%)
118
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Other Punctuation
ValueCountFrequency (%)
， 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 497
64.0%
Common 279
36.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 48
 
9.7%
거 46
 
9.3%
남 37
 
7.4%
상 36
 
7.2%
시 36
 
7.2%
경 34
 
6.8%
도 34
 
6.8%
동 30
 
6.0%
로 28
 
5.6%
길 15
 
3.0%
Other values (51) 153
30.8%
Common
ValueCountFrequency (%)
118
42.3%
1 28
 
10.0%
) 25
 
9.0%
( 25
 
9.0%
2 17
 
6.1%
4 13
 
4.7%
3 10
 
3.6%
5 8
 
2.9%
6 8
 
2.9%
0 6
 
2.2%
Other values (5) 21
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 497
64.0%
ASCII 274
35.3%
None 5
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
118
43.1%
1 28
 
10.2%
) 25
 
9.1%
( 25
 
9.1%
2 17
 
6.2%
4 13
 
4.7%
3 10
 
3.6%
5 8
 
2.9%
6 8
 
2.9%
0 6
 
2.2%
Other values (4) 16
 
5.8%
Hangul
ValueCountFrequency (%)
제 48
 
9.7%
거 46
 
9.3%
남 37
 
7.4%
상 36
 
7.2%
시 36
 
7.2%
경 34
 
6.8%
도 34
 
6.8%
동 30
 
6.0%
로 28
 
5.6%
길 15
 
3.0%
Other values (51) 153
30.8%
None
ValueCountFrequency (%)
， 5
100.0%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct30
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.880592
Minimum34.732306
Maximum34.986595
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-04-18T01:23:52.058993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.732306
5-th percentile34.826781
Q134.869531
median34.883575
Q334.893112
95-th percentile34.93166
Maximum34.986595
Range0.25428891
Interquartile range (IQR)0.023581162

Descriptive statistics

Standard deviation0.040028333
Coefficient of variation (CV)0.0011475818
Kurtosis6.1694204
Mean34.880592
Median Absolute Deviation (MAD)0.01281288
Skewness-0.99875418
Sum1185.9401
Variance0.0016022674
MonotonicityNot monotonic
2024-04-18T01:23:52.150618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
34.88055359 3
 
8.8%
34.88990295 2
 
5.9%
34.86953057 2
 
5.9%
34.88255167 1
 
2.9%
34.88405729 1
 
2.9%
34.88010969 1
 
2.9%
34.88367994 1
 
2.9%
34.89613915 1
 
2.9%
34.89897571 1
 
2.9%
34.88824386 1
 
2.9%
Other values (20) 20
58.8%
ValueCountFrequency (%)
34.73230564 1
2.9%
34.82160724 1
2.9%
34.8295663 1
2.9%
34.83681074 1
2.9%
34.85100161 1
2.9%
34.86600541 1
2.9%
34.86736903 1
2.9%
34.86803334 1
2.9%
34.86953057 2
5.9%
34.87917875 1
2.9%
ValueCountFrequency (%)
34.98659455 1
2.9%
34.95532897 1
2.9%
34.91891568 1
2.9%
34.91459391 1
2.9%
34.89897571 1
2.9%
34.89681168 1
2.9%
34.89663589 1
2.9%
34.89613915 1
2.9%
34.8941075 1
2.9%
34.89012443 1
2.9%

경도
Real number (ℝ)

Distinct30
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.64178
Minimum128.5049
Maximum128.73457
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-04-18T01:23:52.238227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.5049
5-th percentile128.56656
Q1128.62077
median128.63414
Q3128.68522
95-th percentile128.71173
Maximum128.73457
Range0.2296632
Interquartile range (IQR)0.06445675

Descriptive statistics

Standard deviation0.048993207
Coefficient of variation (CV)0.00038084989
Kurtosis1.4249499
Mean128.64178
Median Absolute Deviation (MAD)0.0217237
Skewness-0.58543274
Sum4373.8204
Variance0.0024003343
MonotonicityNot monotonic
2024-04-18T01:23:52.334179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
128.6207681 3
 
8.8%
128.6187817 2
 
5.9%
128.6462904 2
 
5.9%
128.6231461 1
 
2.9%
128.6231137 1
 
2.9%
128.6264531 1
 
2.9%
128.6246205 1
 
2.9%
128.6861724 1
 
2.9%
128.6867103 1
 
2.9%
128.6414156 1
 
2.9%
Other values (20) 20
58.8%
ValueCountFrequency (%)
128.5049043 1
 
2.9%
128.5222515 1
 
2.9%
128.5904186 1
 
2.9%
128.608114 1
 
2.9%
128.6094023 1
 
2.9%
128.6101238 1
 
2.9%
128.6187817 2
5.9%
128.6207681 3
8.8%
128.6231137 1
 
2.9%
128.6231461 1
 
2.9%
ValueCountFrequency (%)
128.7345675 1
2.9%
128.7271779 1
2.9%
128.7034166 1
2.9%
128.696254 1
2.9%
128.6960124 1
2.9%
128.6921338 1
2.9%
128.6875989 1
2.9%
128.6867103 1
2.9%
128.6861724 1
2.9%
128.6823822 1
2.9%

연락처
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-04-18T01:23:52.492358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters408
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

Unique34 ?
Unique (%)100.0%

Sample

1st row055-639-3000
2nd row055-639-6001
3rd row055-639-6002
4th row055-639-6003
5th row055-639-6004
ValueCountFrequency (%)
055-639-3000 1
 
2.9%
055-639-6001 1
 
2.9%
055-630-9260 1
 
2.9%
055-637-3098 1
 
2.9%
055-636-2052 1
 
2.9%
055-635-2047 1
 
2.9%
055-689-9212 1
 
2.9%
055-687-0112 1
 
2.9%
055-639-7251 1
 
2.9%
055-639-6009 1
 
2.9%
Other values (24) 24
70.6%
2024-04-18T01:23:52.750370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 86
21.1%
5 75
18.4%
- 68
16.7%
6 61
15.0%
3 39
9.6%
9 31
 
7.6%
1 16
 
3.9%
2 11
 
2.7%
7 9
 
2.2%
8 7
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 340
83.3%
Dash Punctuation 68
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 86
25.3%
5 75
22.1%
6 61
17.9%
3 39
11.5%
9 31
 
9.1%
1 16
 
4.7%
2 11
 
3.2%
7 9
 
2.6%
8 7
 
2.1%
4 5
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 408
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 86
21.1%
5 75
18.4%
- 68
16.7%
6 61
15.0%
3 39
9.6%
9 31
 
7.6%
1 16
 
3.9%
2 11
 
2.7%
7 9
 
2.2%
8 7
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 408
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 86
21.1%
5 75
18.4%
- 68
16.7%
6 61
15.0%
3 39
9.6%
9 31
 
7.6%
1 16
 
3.9%
2 11
 
2.7%
7 9
 
2.2%
8 7
 
1.7%

팩스
Text

MISSING 

Distinct27
Distinct (%)96.4%
Missing6
Missing (%)17.6%
Memory size404.0 B
2024-04-18T01:23:52.908842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.071429
Min length12

Characters and Unicode

Total characters338
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

Unique26 ?
Unique (%)92.9%

Sample

1st row055-639-6489
2nd row055-639-6519
3rd row055-639-6559
4th row055-639-6589
5th row055-639-6619
ValueCountFrequency (%)
055-639-4949 2
 
7.1%
055-639-6919 1
 
3.6%
055-639-6489 1
 
3.6%
055-630-9209 1
 
3.6%
0505-058-3633 1
 
3.6%
055-639-7259 1
 
3.6%
055-639-3739 1
 
3.6%
055-636-4501 1
 
3.6%
055-687-7034 1
 
3.6%
055-636-8992 1
 
3.6%
Other values (17) 17
60.7%
2024-04-18T01:23:53.155680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 68
20.1%
- 56
16.6%
9 54
16.0%
6 52
15.4%
0 38
11.2%
3 32
9.5%
8 12
 
3.6%
4 10
 
3.0%
7 7
 
2.1%
1 6
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 282
83.4%
Dash Punctuation 56
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 68
24.1%
9 54
19.1%
6 52
18.4%
0 38
13.5%
3 32
11.3%
8 12
 
4.3%
4 10
 
3.5%
7 7
 
2.5%
1 6
 
2.1%
2 3
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 338
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 68
20.1%
- 56
16.6%
9 54
16.0%
6 52
15.4%
0 38
11.2%
3 32
9.5%
8 12
 
3.6%
4 10
 
3.0%
7 7
 
2.1%
1 6
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 338
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 68
20.1%
- 56
16.6%
9 54
16.0%
6 52
15.4%
0 38
11.2%
3 32
9.5%
8 12
 
3.6%
4 10
 
3.0%
7 7
 
2.1%
1 6
 
1.8%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
Minimum2021-09-07 00:00:00
Maximum2021-09-07 00:00:00
2024-04-18T01:23:53.242815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:23:53.311121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-18T01:23:49.977599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:23:49.601268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:23:49.793773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:23:50.037641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:23:49.667295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:23:49.862895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:23:50.093316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:23:49.728292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:23:49.919557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-18T01:23:53.365618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
면동기관명우편번호주소위도경도연락처팩스
면동1.0001.0000.9721.0000.9910.9571.0000.993
기관명1.0001.0001.0001.0001.0001.0001.0001.000
우편번호0.9721.0001.0001.0000.8410.9061.0001.000
주소1.0001.0001.0001.0001.0001.0001.0000.989
위도0.9911.0000.8411.0001.0000.8711.0001.000
경도0.9571.0000.9061.0000.8711.0001.0001.000
연락처1.0001.0001.0001.0001.0001.0001.0001.000
팩스0.9931.0001.0000.9891.0001.0001.0001.000
2024-04-18T01:23:53.446337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호위도경도
우편번호1.000-0.812-0.347
위도-0.8121.0000.192
경도-0.3470.1921.000

Missing values

2024-04-18T01:23:50.174162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-18T01:23:50.270623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

면동기관명우편번호주소위도경도연락처팩스기준일자
0고현동거제시청53257경상남도 거제시 계룡로 125(고현동，거제시청)34.880554128.620768055-639-3000<NA>2021-09-07
1일운면일운면사무소53328경상남도 거제시 일운면 지세포4길 734.829566128.703417055-639-6001055-639-64892021-09-07
2동부면동부면사무소53331경상남도 거제시 동부면 동부로 1634.821607128.608114055-639-6002055-639-65192021-09-07
3남부면남부면사무소53333경상남도 거제시 남부면 남부해안로 3034.732306128.610124055-639-6003055-639-65592021-09-07
4거제면거제면사무소53286경상남도 거제시 거제면 서상길 134.851002128.590419055-639-6004055-639-65892021-09-07
5둔덕면둔덕면사무소53281경상남도 거제시 둔덕면 거제남서로 462034.836811128.504904055-639-6005055-639-66192021-09-07
6사등면사등면사무소53276경상남도 거제시 사등면 성포로 10434.918916128.522252055-639-6006055-639-66592021-09-07
7연초면연초면사무소53212경상남도 거제시 연초면 죽토로 1134.914594128.656526055-639-6007055-639-66892021-09-07
8하청면하청면사무소53204경상남도 거제시 하청면 하청로 12-734.955329128.655198055-639-6008055-639-67192021-09-07
9장목면장목면사무소53201경상남도 거제시 장목면 장동1길 46-134.986595128.682382055-639-6009055-639-67492021-09-07
면동기관명우편번호주소위도경도연락처팩스기준일자
24고현동거제시청소년상담복지센터53246경상남도 거제시 중곡로 46，2층(고현동，고현청소년문화의집)34.896812128.630355055-636-2000055-639-49492021-09-07
25양정동거제시육아종합지원센터53243경상남도 거제시 제산로 64(양정동)34.888244128.641416055-639-4991055-639-49492021-09-07
26고현동거제시의회53257경상남도 거제시 계룡로 125(고현동)34.880554128.620768055-639-7251055-639-72592021-09-07
27옥포동거제경찰서53225경상남도 거제시 진목1길 2(옥포동)34.898976128.68671055-687-0112<NA>2021-09-07
28옥포동거제소방서53224경상남도 거제시 진목로 1(옥포동)34.896139128.686172055-689-9212<NA>2021-09-07
29고현동거제시선거관리위원회53256경상남도 거제시 거제중앙로13길 8(고현동)34.88368128.62462055-635-20470505-058-36332021-09-07
30고현동창원지방법원 거제등기소53252경상남도 거제시 거제중앙로31길 32(고현동)34.889903128.618782055-636-2052<NA>2021-09-07
31고현동창원지방법원 통영지원 거제시법원53252경상남도 거제시 거제중앙로31길 32(고현동)34.889903128.618782055-637-3098<NA>2021-09-07
32고현동경상남도거제교육지원청53258경상남도 거제시 거제중앙로 1809(고현동)34.88011128.626453055-630-9260055-630-92092021-09-07
33고현동거제우체국53254경상남도 거제시 거제중앙로17길 19(고현동)34.884057128.623114055-636-00500505-005-15452021-09-07