Overview

Dataset statistics

Number of variables11
Number of observations6154
Missing cells4877
Missing cells (%)7.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory553.0 KiB
Average record size in memory92.0 B

Variable types

Text3
Categorical4
Numeric3
DateTime1

Dataset

Description경상남도 남해군 보안등정보별 주소, 위도, 경도, 설치연도, 설치형태, 관리기관전화번호, 관리기관명, 데이터기준일자 등에 대한 자료
Author경상남도 남해군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15111805

Alerts

설치개수 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
설치형태 is highly imbalanced (54.3%)Imbalance
소재지도로명주소 has 4877 (79.2%) missing valuesMissing

Reproduction

Analysis started2023-12-10 23:17:10.494411
Analysis finished2023-12-10 23:17:12.341860
Duration1.85 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

보안등위치명
Text

Distinct6094
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size48.2 KiB
2023-12-11T08:17:12.548206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length6
Mean length6.3389665
Min length5

Characters and Unicode

Total characters39010
Distinct characters107
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6034 ?
Unique (%)98.1%

Sample

1st row남변리001
2nd row남변리002
3rd row남변리003
4th row남변리004
5th row남변리005
ValueCountFrequency (%)
당항리104 2
 
< 0.1%
지족리109 2
 
< 0.1%
지족리011 2
 
< 0.1%
지족리110 2
 
< 0.1%
지족리010 2
 
< 0.1%
지족리009 2
 
< 0.1%
지족리008 2
 
< 0.1%
지족리006 2
 
< 0.1%
당항리111 2
 
< 0.1%
지족리005 2
 
< 0.1%
Other values (6085) 6135
99.7%
2023-12-11T08:17:12.970697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5506
 
14.1%
리 5360
 
13.7%
1 4859
 
12.5%
2 2585
 
6.6%
3 1539
 
3.9%
5 1248
 
3.2%
- 1109
 
2.8%
4 1014
 
2.6%
6 781
 
2.0%
7 764
 
2.0%
Other values (97) 14245
36.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19569
50.2%
Other Letter 18331
47.0%
Dash Punctuation 1109
 
2.8%
Space Separator 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 5360
29.2%
남 518
 
2.8%
면 501
 
2.7%
상 500
 
2.7%
동 443
 
2.4%
정 380
 
2.1%
현 333
 
1.8%
음 329
 
1.8%
대 327
 
1.8%
해 326
 
1.8%
Other values (85) 9314
50.8%
Decimal Number
ValueCountFrequency (%)
0 5506
28.1%
1 4859
24.8%
2 2585
13.2%
3 1539
 
7.9%
5 1248
 
6.4%
4 1014
 
5.2%
6 781
 
4.0%
7 764
 
3.9%
8 691
 
3.5%
9 582
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 1109
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20679
53.0%
Hangul 18331
47.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 5360
29.2%
남 518
 
2.8%
면 501
 
2.7%
상 500
 
2.7%
동 443
 
2.4%
정 380
 
2.1%
현 333
 
1.8%
음 329
 
1.8%
대 327
 
1.8%
해 326
 
1.8%
Other values (85) 9314
50.8%
Common
ValueCountFrequency (%)
0 5506
26.6%
1 4859
23.5%
2 2585
12.5%
3 1539
 
7.4%
5 1248
 
6.0%
- 1109
 
5.4%
4 1014
 
4.9%
6 781
 
3.8%
7 764
 
3.7%
8 691
 
3.3%
Other values (2) 583
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20679
53.0%
Hangul 18331
47.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5506
26.6%
1 4859
23.5%
2 2585
12.5%
3 1539
 
7.4%
5 1248
 
6.0%
- 1109
 
5.4%
4 1014
 
4.9%
6 781
 
3.8%
7 764
 
3.7%
8 691
 
3.3%
Other values (2) 583
 
2.8%
Hangul
ValueCountFrequency (%)
리 5360
29.2%
남 518
 
2.8%
면 501
 
2.7%
상 500
 
2.7%
동 443
 
2.4%
정 380
 
2.1%
현 333
 
1.8%
음 329
 
1.8%
대 327
 
1.8%
해 326
 
1.8%
Other values (85) 9314
50.8%

설치개수
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.2 KiB
1
6154 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 6154
100.0%

Length

2023-12-11T08:17:13.092578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:17:13.186869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 6154
100.0%

소재지도로명주소
Text

MISSING 

Distinct1262
Distinct (%)98.8%
Missing4877
Missing (%)79.2%
Memory size48.2 KiB
2023-12-11T08:17:13.506792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length35
Mean length24.707126
Min length17

Characters and Unicode

Total characters31551
Distinct characters183
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1248 ?
Unique (%)97.7%

Sample

1st row경상남도 남해군 남해읍 화전로 65-6 대원상회
2nd row경상남도 남해군 남해읍 화전로38번길 21-1 화랑갈비집
3rd row경상남도 남해군 남해읍 화전로38번나길 3
4th row경상남도 남해군 남해읍 화전로38번가길 15-1
5th row경상남도 남해군 남해읍 망운로10번길 57-1
ValueCountFrequency (%)
경상남도 1277
19.8%
남해군 1277
19.8%
남해읍 203
 
3.1%
설천면 190
 
2.9%
이동면 177
 
2.7%
남면 164
 
2.5%
서면 154
 
2.4%
삼동면 140
 
2.2%
미조면 97
 
1.5%
고현면 76
 
1.2%
Other values (1167) 2707
41.9%
2023-12-11T08:17:13.953586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5185
16.4%
남 3311
 
10.5%
해 1604
 
5.1%
상 1354
 
4.3%
경 1282
 
4.1%
도 1279
 
4.1%
군 1277
 
4.0%
로 1277
 
4.0%
1 1235
 
3.9%
면 1181
 
3.7%
Other values (173) 12566
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19068
60.4%
Decimal Number 6584
 
20.9%
Space Separator 5185
 
16.4%
Dash Punctuation 704
 
2.2%
Close Punctuation 4
 
< 0.1%
Open Punctuation 4
 
< 0.1%
Other Punctuation 1
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 3311
17.4%
해 1604
 
8.4%
상 1354
 
7.1%
경 1282
 
6.7%
도 1279
 
6.7%
군 1277
 
6.7%
로 1277
 
6.7%
면 1181
 
6.2%
길 958
 
5.0%
번 957
 
5.0%
Other values (157) 4588
24.1%
Decimal Number
ValueCountFrequency (%)
1 1235
18.8%
2 1087
16.5%
3 798
12.1%
4 588
8.9%
6 557
8.5%
7 540
8.2%
5 498
7.6%
8 476
 
7.2%
9 457
 
6.9%
0 348
 
5.3%
Space Separator
ValueCountFrequency (%)
5185
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 704
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19068
60.4%
Common 12482
39.6%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 3311
17.4%
해 1604
 
8.4%
상 1354
 
7.1%
경 1282
 
6.7%
도 1279
 
6.7%
군 1277
 
6.7%
로 1277
 
6.7%
면 1181
 
6.2%
길 958
 
5.0%
번 957
 
5.0%
Other values (157) 4588
24.1%
Common
ValueCountFrequency (%)
5185
41.5%
1 1235
 
9.9%
2 1087
 
8.7%
3 798
 
6.4%
- 704
 
5.6%
4 588
 
4.7%
6 557
 
4.5%
7 540
 
4.3%
5 498
 
4.0%
8 476
 
3.8%
Other values (5) 814
 
6.5%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19068
60.4%
ASCII 12483
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5185
41.5%
1 1235
 
9.9%
2 1087
 
8.7%
3 798
 
6.4%
- 704
 
5.6%
4 588
 
4.7%
6 557
 
4.5%
7 540
 
4.3%
5 498
 
4.0%
8 476
 
3.8%
Other values (6) 815
 
6.5%
Hangul
ValueCountFrequency (%)
남 3311
17.4%
해 1604
 
8.4%
상 1354
 
7.1%
경 1282
 
6.7%
도 1279
 
6.7%
군 1277
 
6.7%
로 1277
 
6.7%
면 1181
 
6.2%
길 958
 
5.0%
번 957
 
5.0%
Other values (157) 4588
24.1%

소재지지번주소
Text

Distinct4798
Distinct (%)78.0%
Missing0
Missing (%)0.0%
Memory size48.2 KiB
2023-12-11T08:17:14.312983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length26
Mean length21.623822
Min length15

Characters and Unicode

Total characters133073
Distinct characters120
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4278 ?
Unique (%)69.5%

Sample

1st row경상남도 남해군 남해읍 북변리 629
2nd row경상남도 남해군 남해읍 남변리 381
3rd row경상남도 남해군 남해읍 서변리 5-1
4th row경상남도 남해군 남해읍 남변리 389-1
5th row경상남도 남해군 남해읍 북변리 97-1
ValueCountFrequency (%)
경상남도 6152
19.9%
남해군 6151
19.9%
남해읍 1022
 
3.3%
창선면 898
 
2.9%
삼동면 708
 
2.3%
이동면 631
 
2.0%
남면 597
 
1.9%
설천면 527
 
1.7%
서면 487
 
1.6%
미조면 465
 
1.5%
Other values (4057) 13283
43.0%
2023-12-11T08:17:14.784657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24767
18.6%
남 14122
 
10.6%
해 7174
 
5.4%
상 7038
 
5.3%
도 6287
 
4.7%
군 6154
 
4.6%
경 6153
 
4.6%
리 6131
 
4.6%
1 5685
 
4.3%
면 5169
 
3.9%
Other values (110) 44393
33.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 79120
59.5%
Decimal Number 24841
 
18.7%
Space Separator 24767
 
18.6%
Dash Punctuation 4331
 
3.3%
Other Punctuation 13
 
< 0.1%
Control 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 14122
17.8%
해 7174
 
9.1%
상 7038
 
8.9%
도 6287
 
7.9%
군 6154
 
7.8%
경 6153
 
7.8%
리 6131
 
7.7%
면 5169
 
6.5%
동 1615
 
2.0%
선 1051
 
1.3%
Other values (96) 18226
23.0%
Decimal Number
ValueCountFrequency (%)
1 5685
22.9%
2 3055
12.3%
3 2616
10.5%
4 2318
9.3%
6 2197
 
8.8%
5 2128
 
8.6%
7 1874
 
7.5%
8 1754
 
7.1%
9 1619
 
6.5%
0 1595
 
6.4%
Space Separator
ValueCountFrequency (%)
24767
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4331
100.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 79120
59.5%
Common 53953
40.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 14122
17.8%
해 7174
 
9.1%
상 7038
 
8.9%
도 6287
 
7.9%
군 6154
 
7.8%
경 6153
 
7.8%
리 6131
 
7.7%
면 5169
 
6.5%
동 1615
 
2.0%
선 1051
 
1.3%
Other values (96) 18226
23.0%
Common
ValueCountFrequency (%)
24767
45.9%
1 5685
 
10.5%
- 4331
 
8.0%
2 3055
 
5.7%
3 2616
 
4.8%
4 2318
 
4.3%
6 2197
 
4.1%
5 2128
 
3.9%
7 1874
 
3.5%
8 1754
 
3.3%
Other values (4) 3228
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 79120
59.5%
ASCII 53953
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24767
45.9%
1 5685
 
10.5%
- 4331
 
8.0%
2 3055
 
5.7%
3 2616
 
4.8%
4 2318
 
4.3%
6 2197
 
4.1%
5 2128
 
3.9%
7 1874
 
3.5%
8 1754
 
3.3%
Other values (4) 3228
 
6.0%
Hangul
ValueCountFrequency (%)
남 14122
17.8%
해 7174
 
9.1%
상 7038
 
8.9%
도 6287
 
7.9%
군 6154
 
7.8%
경 6153
 
7.8%
리 6131
 
7.7%
면 5169
 
6.5%
동 1615
 
2.0%
선 1051
 
1.3%
Other values (96) 18226
23.0%

위도
Real number (ℝ)

Distinct4964
Distinct (%)80.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.823114
Minimum34.6867
Maximum35.258745
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size54.2 KiB
2023-12-11T08:17:14.925051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.6867
5-th percentile34.719951
Q134.780009
median34.831028
Q334.864182
95-th percentile34.917605
Maximum35.258745
Range0.57204523
Interquartile range (IQR)0.084172937

Descriptive statistics

Standard deviation0.060201586
Coefficient of variation (CV)0.0017287824
Kurtosis-0.30579391
Mean34.823114
Median Absolute Deviation (MAD)0.041523155
Skewness-0.13736602
Sum214301.44
Variance0.0036242309
MonotonicityNot monotonic
2023-12-11T08:17:15.047737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.84125474 37
 
0.6%
34.83547331 27
 
0.4%
34.90962018 26
 
0.4%
34.84289876 26
 
0.4%
34.72786321 22
 
0.4%
34.7233537 21
 
0.3%
34.78437302 16
 
0.3%
34.84300986 16
 
0.3%
34.76726866 16
 
0.3%
34.7987235 16
 
0.3%
Other values (4954) 5931
96.4%
ValueCountFrequency (%)
34.68670023 1
< 0.1%
34.68714205 1
< 0.1%
34.68732175 1
< 0.1%
34.68752997 2
< 0.1%
34.68799888 2
< 0.1%
34.69622729 1
< 0.1%
34.69694878 1
< 0.1%
34.69708347 1
< 0.1%
34.69710196 1
< 0.1%
34.69723419 1
< 0.1%
ValueCountFrequency (%)
35.25874546 1
 
< 0.1%
34.94657186 1
 
< 0.1%
34.94643084 1
 
< 0.1%
34.94604295 1
 
< 0.1%
34.94582563 1
 
< 0.1%
34.94573596 1
 
< 0.1%
34.94528683 1
 
< 0.1%
34.94497809 1
 
< 0.1%
34.94387908 1
 
< 0.1%
34.94292463 3
< 0.1%

경도
Real number (ℝ)

Distinct4975
Distinct (%)80.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.94078
Minimum127.80954
Maximum128.29865
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size54.2 KiB
2023-12-11T08:17:15.174836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.80954
5-th percentile127.83729
Q1127.8891
median127.92308
Q3128.00693
95-th percentile128.04941
Maximum128.29865
Range0.489113
Interquartile range (IQR)0.11782927

Descriptive statistics

Standard deviation0.069062786
Coefficient of variation (CV)0.00053980276
Kurtosis-1.0972712
Mean127.94078
Median Absolute Deviation (MAD)0.0543174
Skewness0.19212322
Sum787347.55
Variance0.0047696684
MonotonicityNot monotonic
2023-12-11T08:17:15.311873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.8978656 37
 
0.6%
127.891167 27
 
0.4%
127.9150532 26
 
0.4%
128.0246997 26
 
0.4%
127.9902811 24
 
0.4%
128.0213216 21
 
0.3%
128.0217114 16
 
0.3%
127.9053808 16
 
0.3%
128.0401834 16
 
0.3%
127.9612105 16
 
0.3%
Other values (4965) 5929
96.3%
ValueCountFrequency (%)
127.8095374 1
 
< 0.1%
127.8095444 4
0.1%
127.8095554 1
 
< 0.1%
127.8095562 1
 
< 0.1%
127.8095614 1
 
< 0.1%
127.810352 1
 
< 0.1%
127.8108132 2
< 0.1%
127.8108504 1
 
< 0.1%
127.8112192 1
 
< 0.1%
127.8112199 1
 
< 0.1%
ValueCountFrequency (%)
128.2986504 1
 
< 0.1%
128.0672004 1
 
< 0.1%
128.0665925 1
 
< 0.1%
128.066396 2
 
< 0.1%
128.0663074 6
0.1%
128.0652728 4
0.1%
128.0639222 1
 
< 0.1%
128.0637807 1
 
< 0.1%
128.0634189 1
 
< 0.1%
128.063342 1
 
< 0.1%

설치연도
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2012.1103
Minimum2011
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size54.2 KiB
2023-12-11T08:17:15.431784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2011
5-th percentile2011
Q12011
median2011
Q32011
95-th percentile2018
Maximum2020
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.3738815
Coefficient of variation (CV)0.0011797969
Kurtosis2.2114291
Mean2012.1103
Median Absolute Deviation (MAD)0
Skewness1.9169797
Sum12382527
Variance5.6353133
MonotonicityNot monotonic
2023-12-11T08:17:15.533090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2011 4937
80.2%
2017 251
 
4.1%
2015 226
 
3.7%
2014 185
 
3.0%
2019 179
 
2.9%
2018 174
 
2.8%
2016 150
 
2.4%
2020 52
 
0.8%
ValueCountFrequency (%)
2011 4937
80.2%
2014 185
 
3.0%
2015 226
 
3.7%
2016 150
 
2.4%
2017 251
 
4.1%
2018 174
 
2.8%
2019 179
 
2.9%
2020 52
 
0.8%
ValueCountFrequency (%)
2020 52
 
0.8%
2019 179
 
2.9%
2018 174
 
2.8%
2017 251
 
4.1%
2016 150
 
2.4%
2015 226
 
3.7%
2014 185
 
3.0%
2011 4937
80.2%

설치형태
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.2 KiB
전용주
4928 
한전주
1224 
건축물
 
2

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row한전주
2nd row한전주
3rd row한전주
4th row전용주
5th row한전주

Common Values

ValueCountFrequency (%)
전용주 4928
80.1%
한전주 1224
 
19.9%
건축물 2
 
< 0.1%

Length

2023-12-11T08:17:15.655811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:17:15.751031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전용주 4928
80.1%
한전주 1224
 
19.9%
건축물 2
 
< 0.1%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.2 KiB
055-860-3435
6154 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row055-860-3435
2nd row055-860-3435
3rd row055-860-3435
4th row055-860-3435
5th row055-860-3435

Common Values

ValueCountFrequency (%)
055-860-3435 6154
100.0%

Length

2023-12-11T08:17:15.847296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:17:15.959870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
055-860-3435 6154
100.0%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.2 KiB
경상남도 남해군청
6154 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경상남도 남해군청
2nd row경상남도 남해군청
3rd row경상남도 남해군청
4th row경상남도 남해군청
5th row경상남도 남해군청

Common Values

ValueCountFrequency (%)
경상남도 남해군청 6154
100.0%

Length

2023-12-11T08:17:16.048846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:17:16.132000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 6154
50.0%
남해군청 6154
50.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.2 KiB
Minimum2023-01-10 00:00:00
Maximum2023-01-10 00:00:00
2023-12-11T08:17:16.210563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:17:16.303810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T08:17:11.819373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:17:11.127062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:17:11.376549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:17:11.906435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:17:11.216067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:17:11.661386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:17:11.989488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:17:11.297992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:17:11.739960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:17:16.370805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도설치연도설치형태
위도1.0000.6750.0890.140
경도0.6751.0000.2260.202
설치연도0.0890.2261.0000.144
설치형태0.1400.2020.1441.000
2023-12-11T08:17:16.455995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도설치연도설치형태
위도1.000-0.2380.0310.058
경도-0.2381.000-0.0260.138
설치연도0.031-0.0261.0000.166
설치형태0.0580.1380.1661.000

Missing values

2023-12-11T08:17:12.101550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:17:12.260311image/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

보안등위치명설치개수소재지도로명주소소재지지번주소위도경도설치연도설치형태관리기관전화번호관리기관명데이터기준일자
0남변리0011<NA>경상남도 남해군 남해읍 북변리 62934.83833127.893072011한전주055-860-3435경상남도 남해군청2023-01-10
1남변리0021<NA>경상남도 남해군 남해읍 남변리 38134.837513127.8939422011한전주055-860-3435경상남도 남해군청2023-01-10
2남변리0031경상남도 남해군 남해읍 화전로 65-6 대원상회경상남도 남해군 남해읍 서변리 5-134.837188127.893682011한전주055-860-3435경상남도 남해군청2023-01-10
3남변리0041<NA>경상남도 남해군 남해읍 남변리 389-134.837298127.8942712011전용주055-860-3435경상남도 남해군청2023-01-10
4남변리0051<NA>경상남도 남해군 남해읍 북변리 97-134.837901127.8950862016한전주055-860-3435경상남도 남해군청2023-01-10
5남변리0061<NA>경상남도 남해군 남해읍 남변리 64334.836449127.9001462011전용주055-860-3435경상남도 남해군청2023-01-10
6남변리0071<NA>경상남도 남해군 남해읍 북변리 97-134.837901127.8950682011전용주055-860-3435경상남도 남해군청2023-01-10
7남변리0081<NA>경상남도 남해군 남해읍 북변리 89-1234.83772127.8958772016한전주055-860-3435경상남도 남해군청2023-01-10
8남변리0091<NA>경상남도 남해군 남해읍 북변리 61934.83858127.8959852011한전주055-860-3435경상남도 남해군청2023-01-10
9남변리0101경상남도 남해군 남해읍 화전로38번길 21-1 화랑갈비집경상남도 남해군 남해읍 남변리 349-134.836933127.8952472011전용주055-860-3435경상남도 남해군청2023-01-10
보안등위치명설치개수소재지도로명주소소재지지번주소위도경도설치연도설치형태관리기관전화번호관리기관명데이터기준일자
6144가인리103-11<NA>경상남도 남해군 창선면 가인리 산 36-3334.890334128.0370792019한전주055-860-3435경상남도 남해군청2023-01-10
6145광천리1271<NA>경상남도 남해군 창선면 광천리 60134.860632127.9660062019한전주055-860-3435경상남도 남해군청2023-01-10
6146지족리007-11<NA>경상남도 남해군 창선면 지족리 758-1034.841424127.9782182020전용주055-860-3435경상남도 남해군청2023-01-10
6147지족리007-31<NA>경상남도 남해군 창선면 지족리 산 216-634.841605127.9756672020한전주055-860-3435경상남도 남해군청2023-01-10
6148동대리109-11<NA>경상남도 남해군 창선면 동대리 196-134.881947128.0127232020전용주055-860-3435경상남도 남해군청2023-01-10
6149당항리106-11<NA>경상남도 남해군 창선면 당항리 85-134.90788128.024962020한전주055-860-3435경상남도 남해군청2023-01-10
6150진동리010-11<NA>경상남도 남해군 창선면 진동리 978-234.86273128.0597272020전용주055-860-3435경상남도 남해군청2023-01-10
6151상신리009-21<NA>경상남도 남해군 창선면 상신리 65334.864909128.0084512020한전주055-860-3435경상남도 남해군청2023-01-10
6152상죽리001-11<NA>경상남도 남해군 창선면 상죽리 54534.852973128.0097432020한전주055-860-3435경상남도 남해군청2023-01-10
6153율도리111-11<NA>경상남도 남해군 창선면 율도리 10834.895551128.0011492020한전주055-860-3435경상남도 남해군청2023-01-10