Overview

Dataset statistics

Number of variables26
Number of observations4012
Missing cells41
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory850.3 KiB
Average record size in memory217.0 B

Variable types

Categorical15
Numeric7
Text4

Dataset

Description도시정보시스템 의 가로등에 대한 지형지물부호, 관리번호, 행정읍면동, 도엽번호, 관리기관, 도로구간번호, 공사번호, 분전함지형지물부호, 분전함관리번호 등에 관한 정보
Author경상남도 통영시
URLhttps://www.data.go.kr/data/15062585/fileData.do

Alerts

지형지물부호 has constant value ""Constant
관리기관 has constant value ""Constant
공사번호 is highly imbalanced (73.2%)Imbalance
설치일자 is highly imbalanced (62.9%)Imbalance
등주형식 is highly imbalanced (77.1%)Imbalance
등주재질 is highly imbalanced (55.0%)Imbalance
등기구수량 is highly imbalanced (60.3%)Imbalance
광원종류 is highly imbalanced (63.4%)Imbalance
대장초기화여부 is highly imbalanced (73.7%)Imbalance
비고 is highly imbalanced (89.5%)Imbalance
연결여부 is highly imbalanced (52.9%)Imbalance
암길이 has 41 (1.0%) missing valuesMissing
구분ID has unique valuesUnique
분전함관리번호 has 989 (24.7%) zerosZeros
등주높이 has 230 (5.7%) zerosZeros
암길이 has 198 (4.9%) zerosZeros

Reproduction

Analysis started2023-12-12 21:47:41.882630
Analysis finished2023-12-12 21:47:42.420718
Duration0.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지형지물부호
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.5 KiB
가로등
4012 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가로등 4012
100.0%

Length

2023-12-13T06:47:42.471183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:47:42.568577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가로등 4012
100.0%

관리번호
Real number (ℝ)

Distinct3930
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26219145
Minimum1
Maximum2.0210801 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.4 KiB
2023-12-13T06:47:42.662441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile120.55
Q11020.75
median2156.5
Q33843
95-th percentile160253.45
Maximum2.0210801 × 109
Range2.0210801 × 109
Interquartile range (IQR)2822.25

Descriptive statistics

Standard deviation2.2862348 × 108
Coefficient of variation (CV)8.7197156
Kurtosis72.258483
Mean26219145
Median Absolute Deviation (MAD)1223
Skewness8.6152456
Sum1.0519121 × 1011
Variance5.2268698 × 1016
MonotonicityNot monotonic
2023-12-13T06:47:42.792415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 2
 
< 0.1%
28 2
 
< 0.1%
81 2
 
< 0.1%
82 2
 
< 0.1%
83 2
 
< 0.1%
84 2
 
< 0.1%
85 2
 
< 0.1%
86 2
 
< 0.1%
87 2
 
< 0.1%
88 2
 
< 0.1%
Other values (3920) 3992
99.5%
ValueCountFrequency (%)
1 2
< 0.1%
2 2
< 0.1%
3 2
< 0.1%
4 2
< 0.1%
5 2
< 0.1%
6 2
< 0.1%
7 2
< 0.1%
8 2
< 0.1%
9 2
< 0.1%
10 2
< 0.1%
ValueCountFrequency (%)
2021080052 1
< 0.1%
2021080051 1
< 0.1%
2021080050 1
< 0.1%
2021080049 1
< 0.1%
2021080048 1
< 0.1%
2021080047 1
< 0.1%
2021080046 1
< 0.1%
2021080045 1
< 0.1%
2021080044 1
< 0.1%
2021080043 1
< 0.1%

행정읍면동
Categorical

Distinct11
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size31.5 KiB
사량면
2159 
광도면
1121 
용남면
233 
도산면
 
166
한산면
 
108
Other values (6)
225 

Length

Max length7
Median length3
Mean length3.0099701
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사량면 2159
53.8%
광도면 1121
27.9%
용남면 233
 
5.8%
도산면 166
 
4.1%
한산면 108
 
2.7%
산양읍 100
 
2.5%
욕지면 70
 
1.7%
북신동 25
 
0.6%
데이터 미집계 13
 
0.3%
당동 12
 
0.3%

Length

2023-12-13T06:47:42.931909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
사량면 2159
53.6%
광도면 1121
27.9%
용남면 233
 
5.8%
도산면 166
 
4.1%
한산면 108
 
2.7%
산양읍 100
 
2.5%
욕지면 70
 
1.7%
북신동 25
 
0.6%
데이터 13
 
0.3%
미집계 13
 
0.3%
Other values (2) 17
 
0.4%

도엽번호
Text

Distinct482
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size31.5 KiB
2023-12-13T06:47:43.131647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.9992522
Min length7

Characters and Unicode

Total characters40117
Distinct characters21
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)1.5%

Sample

1st row348021816D
2nd row348021912B
3rd row348021912B
4th row348021912B
5th row348021912B
ValueCountFrequency (%)
348020483d 52
 
1.3%
348021476d 37
 
0.9%
348021434b 36
 
0.9%
348021915b 35
 
0.9%
348021434d 35
 
0.9%
348021912b 34
 
0.8%
348021444c 33
 
0.8%
348021922d 33
 
0.8%
348021906a 32
 
0.8%
348021445a 31
 
0.8%
Other values (473) 3655
91.1%
2023-12-13T06:47:43.484375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 7162
17.9%
3 5382
13.4%
0 5230
13.0%
8 4824
12.0%
2 4745
11.8%
1 4186
10.4%
9 2080
 
5.2%
5 1125
 
2.8%
D 1079
 
2.7%
A 991
 
2.5%
Other values (11) 3313
8.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 36099
90.0%
Uppercase Letter 4011
 
10.0%
Other Letter 6
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 7162
19.8%
3 5382
14.9%
0 5230
14.5%
8 4824
13.4%
2 4745
13.1%
1 4186
11.6%
9 2080
 
5.8%
5 1125
 
3.1%
6 790
 
2.2%
7 575
 
1.6%
Other Letter
ValueCountFrequency (%)
데 1
16.7%
이 1
16.7%
터 1
16.7%
미 1
16.7%
집 1
16.7%
계 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
D 1079
26.9%
A 991
24.7%
B 975
24.3%
C 966
24.1%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 36100
90.0%
Latin 4011
 
10.0%
Hangul 6
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
4 7162
19.8%
3 5382
14.9%
0 5230
14.5%
8 4824
13.4%
2 4745
13.1%
1 4186
11.6%
9 2080
 
5.8%
5 1125
 
3.1%
6 790
 
2.2%
7 575
 
1.6%
Hangul
ValueCountFrequency (%)
데 1
16.7%
이 1
16.7%
터 1
16.7%
미 1
16.7%
집 1
16.7%
계 1
16.7%
Latin
ValueCountFrequency (%)
D 1079
26.9%
A 991
24.7%
B 975
24.3%
C 966
24.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 40111
> 99.9%
Hangul 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 7162
17.9%
3 5382
13.4%
0 5230
13.0%
8 4824
12.0%
2 4745
11.8%
1 4186
10.4%
9 2080
 
5.2%
5 1125
 
2.8%
D 1079
 
2.7%
A 991
 
2.5%
Other values (5) 3307
8.2%
Hangul
ValueCountFrequency (%)
데 1
16.7%
이 1
16.7%
터 1
16.7%
미 1
16.7%
집 1
16.7%
계 1
16.7%

관리기관
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.5 KiB
통영시
4012 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
통영시 4012
100.0%

Length

2023-12-13T06:47:43.629968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:47:43.728606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
통영시 4012
100.0%

도로구간번호
Text

Distinct1005
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size31.5 KiB
2023-12-13T06:47:44.091013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length4
Mean length4.191675
Min length1

Characters and Unicode

Total characters16817
Distinct characters17
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

Unique390 ?
Unique (%)9.7%

Sample

1st row855
2nd row160035
3rd row160035
4th row160035
5th row160035
ValueCountFrequency (%)
0 71
 
1.8%
8126 56
 
1.4%
6199 52
 
1.3%
1970 50
 
1.2%
8130 45
 
1.1%
9262 44
 
1.1%
데이터 40
 
1.0%
미집계 40
 
1.0%
8133 37
 
0.9%
6352 32
 
0.8%
Other values (996) 3585
88.5%
2023-12-13T06:47:44.677628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2889
17.2%
0 2571
15.3%
2 2125
12.6%
6 1715
10.2%
7 1331
7.9%
9 1320
7.8%
8 1284
7.6%
3 1217
7.2%
5 1130
 
6.7%
4 955
 
5.7%
Other values (7) 280
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16537
98.3%
Other Letter 240
 
1.4%
Space Separator 40
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2889
17.5%
0 2571
15.5%
2 2125
12.8%
6 1715
10.4%
7 1331
8.0%
9 1320
8.0%
8 1284
7.8%
3 1217
7.4%
5 1130
 
6.8%
4 955
 
5.8%
Other Letter
ValueCountFrequency (%)
터 40
16.7%
미 40
16.7%
집 40
16.7%
계 40
16.7%
이 40
16.7%
데 40
16.7%
Space Separator
ValueCountFrequency (%)
40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16577
98.6%
Hangul 240
 
1.4%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2889
17.4%
0 2571
15.5%
2 2125
12.8%
6 1715
10.3%
7 1331
8.0%
9 1320
8.0%
8 1284
7.7%
3 1217
7.3%
5 1130
 
6.8%
4 955
 
5.8%
Hangul
ValueCountFrequency (%)
터 40
16.7%
미 40
16.7%
집 40
16.7%
계 40
16.7%
이 40
16.7%
데 40
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16577
98.6%
Hangul 240
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2889
17.4%
0 2571
15.5%
2 2125
12.8%
6 1715
10.3%
7 1331
8.0%
9 1320
8.0%
8 1284
7.7%
3 1217
7.3%
5 1130
 
6.8%
4 955
 
5.8%
Hangul
ValueCountFrequency (%)
터 40
16.7%
미 40
16.7%
집 40
16.7%
계 40
16.7%
이 40
16.7%
데 40
16.7%

공사번호
Categorical

IMBALANCE 

Distinct45
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size31.5 KiB
데이터 미집계
3191 
RD20170001
356 
RD20118019
 
72
RD20190003
 
36
RD20103016
 
30
Other values (40)
327 

Length

Max length10
Median length7
Mean length7.6139083
Min length7

Unique

Unique5 ?
Unique (%)0.1%

Sample

1st row데이터 미집계
2nd rowRD20170001
3rd rowRD20170001
4th rowRD20170001
5th rowRD20170001

Common Values

ValueCountFrequency (%)
데이터 미집계 3191
79.5%
RD20170001 356
 
8.9%
RD20118019 72
 
1.8%
RD20190003 36
 
0.9%
RD20103016 30
 
0.7%
RD20021017 30
 
0.7%
RD20045517 28
 
0.7%
RD20130001 28
 
0.7%
RD20065007 25
 
0.6%
RD20170003 16
 
0.4%
Other values (35) 200
 
5.0%

Length

2023-12-13T06:47:44.878520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
데이터 3191
44.3%
미집계 3191
44.3%
rd20170001 356
 
4.9%
rd20118019 72
 
1.0%
rd20190003 36
 
0.5%
rd20103016 30
 
0.4%
rd20021017 30
 
0.4%
rd20045517 28
 
0.4%
rd20130001 28
 
0.4%
rd20065007 25
 
0.3%
Other values (36) 216
 
3.0%

분전함지형지물부호
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.5 KiB
분전함
3072 
데이터 미집계
927 
0
 
13

Length

Max length7
Median length3
Mean length3.9177468
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row분전함
2nd row데이터 미집계
3rd row데이터 미집계
4th row데이터 미집계
5th row데이터 미집계

Common Values

ValueCountFrequency (%)
분전함 3072
76.6%
데이터 미집계 927
 
23.1%
0 13
 
0.3%

Length

2023-12-13T06:47:45.023757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:47:45.156075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
분전함 3072
62.2%
데이터 927
 
18.8%
미집계 927
 
18.8%
0 13
 
0.3%

분전함관리번호
Real number (ℝ)

ZEROS 

Distinct192
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24182156
Minimum0
Maximum2.02108 × 109
Zeros989
Zeros (%)24.7%
Negative0
Negative (%)0.0%
Memory size35.4 KiB
2023-12-13T06:47:45.315796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median164
Q3229
95-th percentile644
Maximum2.02108 × 109
Range2.02108 × 109
Interquartile range (IQR)221

Descriptive statistics

Standard deviation2.1976766 × 108
Coefficient of variation (CV)9.0880091
Kurtosis78.694976
Mean24182156
Median Absolute Deviation (MAD)122
Skewness8.9808544
Sum9.7018812 × 1010
Variance4.8297823 × 1016
MonotonicityNot monotonic
2023-12-13T06:47:45.485117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 989
24.7%
170 113
 
2.8%
175 94
 
2.3%
159 65
 
1.6%
178 65
 
1.6%
230 56
 
1.4%
8 54
 
1.3%
164 47
 
1.2%
703 46
 
1.1%
255 44
 
1.1%
Other values (182) 2439
60.8%
ValueCountFrequency (%)
0 989
24.7%
8 54
 
1.3%
9 3
 
0.1%
10 9
 
0.2%
11 5
 
0.1%
14 33
 
0.8%
17 8
 
0.2%
18 8
 
0.2%
19 8
 
0.2%
22 14
 
0.3%
ValueCountFrequency (%)
2021080006 13
0.3%
2021080005 13
0.3%
2021080004 15
0.4%
2021080001 7
0.2%
450001 7
0.2%
181004 2
 
< 0.1%
181003 4
 
0.1%
181002 6
 
0.1%
181001 5
 
0.1%
719 15
0.4%

설치일자
Categorical

IMBALANCE 

Distinct37
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size31.5 KiB
1900-01-01
2817 
2015-11-20
369 
2016-01-01
 
209
2017-01-01
 
121
2011-04-28
 
72
Other values (32)
424 

Length

Max length10
Median length10
Mean length9.9252243
Min length4

Unique

Unique4 ?
Unique (%)0.1%

Sample

1st row2015-11-20
2nd row2016-01-01
3rd row2016-01-01
4th row2016-01-01
5th row2016-01-01

Common Values

ValueCountFrequency (%)
1900-01-01 2817
70.2%
2015-11-20 369
 
9.2%
2016-01-01 209
 
5.2%
2017-01-01 121
 
3.0%
2011-04-28 72
 
1.8%
2012-01-01 54
 
1.3%
<NA> 50
 
1.2%
2015-10-31 49
 
1.2%
2010-06-23 33
 
0.8%
2002-10-08 30
 
0.7%
Other values (27) 208
 
5.2%

Length

2023-12-13T06:47:45.627411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1900-01-01 2817
70.2%
2015-11-20 369
 
9.2%
2016-01-01 209
 
5.2%
2017-01-01 121
 
3.0%
2011-04-28 72
 
1.8%
2012-01-01 54
 
1.3%
na 50
 
1.2%
2015-10-31 49
 
1.2%
2010-06-23 33
 
0.8%
2002-10-08 30
 
0.7%
Other values (27) 208
 
5.2%

등기구모형
Categorical

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size31.5 KiB
가오스형(신),
1313 
세종형대형
1284 
수박등
1070 
STS엠보싱돌기성형
231 
올챙이형
 
88
Other values (3)
 
26

Length

Max length10
Median length8
Mean length5.7215852
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row수박등
2nd row세종형대형
3rd row세종형대형
4th row세종형대형
5th row세종형대형

Common Values

ValueCountFrequency (%)
가오스형(신), 1313
32.7%
세종형대형 1284
32.0%
수박등 1070
26.7%
STS엠보싱돌기성형 231
 
5.8%
올챙이형 88
 
2.2%
데이터 미집계 18
 
0.4%
미분류 5
 
0.1%
무역의거리형 3
 
0.1%

Length

2023-12-13T06:47:45.774625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:47:45.912086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가오스형(신 1313
32.6%
세종형대형 1284
31.9%
수박등 1070
26.6%
sts엠보싱돌기성형 231
 
5.7%
올챙이형 88
 
2.2%
데이터 18
 
0.4%
미집계 18
 
0.4%
미분류 5
 
0.1%
무역의거리형 3
 
0.1%

등주높이
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.5657278
Minimum0
Maximum12
Zeros230
Zeros (%)5.7%
Negative0
Negative (%)0.0%
Memory size35.4 KiB
2023-12-13T06:47:46.059587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median8
Q38
95-th percentile8
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.1007696
Coefficient of variation (CV)0.2776692
Kurtosis8.0325845
Mean7.5657278
Median Absolute Deviation (MAD)0
Skewness-2.6342743
Sum30353.7
Variance4.413233
MonotonicityNot monotonic
2023-12-13T06:47:46.473403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
8.0 3353
83.6%
0.0 230
 
5.7%
7.0 188
 
4.7%
12.0 117
 
2.9%
8.5 40
 
1.0%
0.8 29
 
0.7%
10.0 21
 
0.5%
7.5 19
 
0.5%
6.0 7
 
0.2%
5.0 5
 
0.1%
ValueCountFrequency (%)
0.0 230
 
5.7%
0.8 29
 
0.7%
5.0 5
 
0.1%
6.0 7
 
0.2%
7.0 188
 
4.7%
7.5 19
 
0.5%
8.0 3353
83.6%
8.5 40
 
1.0%
9.0 3
 
0.1%
10.0 21
 
0.5%
ValueCountFrequency (%)
12.0 117
 
2.9%
10.0 21
 
0.5%
9.0 3
 
0.1%
8.5 40
 
1.0%
8.0 3353
83.6%
7.5 19
 
0.5%
7.0 188
 
4.7%
6.0 7
 
0.2%
5.0 5
 
0.1%
0.8 29
 
0.7%

등주형식
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size31.5 KiB
보행등
3474 
기본형
459 
미분류
 
31
데이터 미집계
 
26
원형
 
11
Other values (3)
 
11

Length

Max length7
Median length3
Mean length3.0239282
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
보행등 3474
86.6%
기본형 459
 
11.4%
미분류 31
 
0.8%
데이터 미집계 26
 
0.6%
원형 11
 
0.3%
2등형 9
 
0.2%
한전주부착식 1
 
< 0.1%
3등형 1
 
< 0.1%

Length

2023-12-13T06:47:46.617528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:47:46.744915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보행등 3474
86.0%
기본형 459
 
11.4%
미분류 31
 
0.8%
데이터 26
 
0.6%
미집계 26
 
0.6%
원형 11
 
0.3%
2등형 9
 
0.2%
한전주부착식 1
 
< 0.1%
3등형 1
 
< 0.1%

등주재질
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size31.5 KiB
스텐레스
1991 
주철
1749 
강관
 
127
SUS
 
68
강판
 
39
Other values (4)
 
38

Length

Max length7
Median length5
Mean length3.0393819
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row강판
2nd row주철
3rd row주철
4th row주철
5th row주철

Common Values

ValueCountFrequency (%)
스텐레스 1991
49.6%
주철 1749
43.6%
강관 127
 
3.2%
SUS 68
 
1.7%
강판 39
 
1.0%
데이터 미집계 15
 
0.4%
FRP 11
 
0.3%
한전주병설 11
 
0.3%
미분류 1
 
< 0.1%

Length

2023-12-13T06:47:46.903162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:47:47.028725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
스텐레스 1991
49.4%
주철 1749
43.4%
강관 127
 
3.2%
sus 68
 
1.7%
강판 39
 
1.0%
데이터 15
 
0.4%
미집계 15
 
0.4%
frp 11
 
0.3%
한전주병설 11
 
0.3%
미분류 1
 
< 0.1%

암길이
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)0.2%
Missing41
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean1.5491564
Minimum0
Maximum2.5
Zeros198
Zeros (%)4.9%
Negative0
Negative (%)0.0%
Memory size35.4 KiB
2023-12-13T06:47:47.137890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.8
Q11.5
median1.5
Q31.5
95-th percentile2.5
Maximum2.5
Range2.5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.45158123
Coefficient of variation (CV)0.29150139
Kurtosis5.225908
Mean1.5491564
Median Absolute Deviation (MAD)0
Skewness-1.3459008
Sum6151.7
Variance0.20392561
MonotonicityNot monotonic
2023-12-13T06:47:47.255843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1.5 2961
73.8%
2.0 522
 
13.0%
2.5 234
 
5.8%
0.0 198
 
4.9%
1.8 29
 
0.7%
1.0 16
 
0.4%
0.8 5
 
0.1%
1.6 4
 
0.1%
1.3 2
 
< 0.1%
(Missing) 41
 
1.0%
ValueCountFrequency (%)
0.0 198
 
4.9%
0.8 5
 
0.1%
1.0 16
 
0.4%
1.3 2
 
< 0.1%
1.5 2961
73.8%
1.6 4
 
0.1%
1.8 29
 
0.7%
2.0 522
 
13.0%
2.5 234
 
5.8%
ValueCountFrequency (%)
2.5 234
 
5.8%
2.0 522
 
13.0%
1.8 29
 
0.7%
1.6 4
 
0.1%
1.5 2961
73.8%
1.3 2
 
< 0.1%
1.0 16
 
0.4%
0.8 5
 
0.1%
0.0 198
 
4.9%

등기구수량
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.5 KiB
1
3029 
2
786 
0
 
151
<NA>
 
41
4
 
3

Length

Max length4
Median length1
Mean length1.030658
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 3029
75.5%
2 786
 
19.6%
0 151
 
3.8%
<NA> 41
 
1.0%
4 3
 
0.1%
3 2
 
< 0.1%

Length

2023-12-13T06:47:47.373755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:47:47.482551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3029
75.5%
2 786
 
19.6%
0 151
 
3.8%
na 41
 
1.0%
4 3
 
0.1%
3 2
 
< 0.1%

광원종류
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size31.5 KiB
고압나트륨램프
3291 
SUS
 
278
미분류
 
274
저압나트륨램프
 
75
메탈할라이드
 
66
Other values (2)
 
28

Length

Max length7
Median length7
Mean length6.4249751
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row고압나트륨램프
2nd row미분류
3rd row미분류
4th row미분류
5th row미분류

Common Values

ValueCountFrequency (%)
고압나트륨램프 3291
82.0%
SUS 278
 
6.9%
미분류 274
 
6.8%
저압나트륨램프 75
 
1.9%
메탈할라이드 66
 
1.6%
데이터 미집계 17
 
0.4%
수은램프 11
 
0.3%

Length

2023-12-13T06:47:47.703685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:47:47.820662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고압나트륨램프 3291
81.7%
sus 278
 
6.9%
미분류 274
 
6.8%
저압나트륨램프 75
 
1.9%
메탈할라이드 66
 
1.6%
데이터 17
 
0.4%
미집계 17
 
0.4%
수은램프 11
 
0.3%

대장초기화여부
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.5 KiB
1
3833 
0
 
179

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 3833
95.5%
0 179
 
4.5%

Length

2023-12-13T06:47:47.953888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:47:48.059916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3833
95.5%
0 179
 
4.5%

비고
Categorical

IMBALANCE 

Distinct49
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size31.5 KiB
데이터 미집계
3750 
통영시 도시계획시설(도로) 사업 공간정보DB 구축용역
 
90
20190118/통영경찰서 앞 4거리 교차로 정비공사
 
36
스마트형
 
30
LED
 
16
Other values (44)
 
90

Length

Max length44
Median length7
Mean length7.9593719
Min length3

Unique

Unique35 ?
Unique (%)0.9%

Sample

1st rowKH141862008
2nd row데이터 미집계
3rd row데이터 미집계
4th row데이터 미집계
5th row데이터 미집계

Common Values

ValueCountFrequency (%)
데이터 미집계 3750
93.5%
통영시 도시계획시설(도로) 사업 공간정보DB 구축용역 90
 
2.2%
20190118/통영경찰서 앞 4거리 교차로 정비공사 36
 
0.9%
스마트형 30
 
0.7%
LED 16
 
0.4%
법송매립지 도시계획도로 개설공사 GIS DB구축 용역 15
 
0.4%
KH141862008 13
 
0.3%
통영안정 아파트 상수도 주관로 DB 구축 용역 7
 
0.2%
명정(대화장여관~충무스튜디오)도시계획도로 개설공사 5
 
0.1%
미수(도천수산~장일수산)도시계획도로 개설공사GIS DB구축용역 5
 
0.1%
Other values (39) 45
 
1.1%

Length

2023-12-13T06:47:48.168591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
데이터 3750
44.5%
미집계 3750
44.5%
통영시 90
 
1.1%
도시계획시설(도로 90
 
1.1%
사업 90
 
1.1%
공간정보db 90
 
1.1%
구축용역 90
 
1.1%
앞 42
 
0.5%
20190118/통영경찰서 36
 
0.4%
4거리 36
 
0.4%
Other values (63) 372
 
4.4%

입력근거
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.5 KiB
현장측량
3119 
데이터 미집계
506 
현장조사
387 

Length

Max length7
Median length4
Mean length4.3783649
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row현장조사
2nd row데이터 미집계
3rd row데이터 미집계
4th row데이터 미집계
5th row데이터 미집계

Common Values

ValueCountFrequency (%)
현장측량 3119
77.7%
데이터 미집계 506
 
12.6%
현장조사 387
 
9.6%

Length

2023-12-13T06:47:48.275378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:47:48.386999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
현장측량 3119
69.0%
데이터 506
 
11.2%
미집계 506
 
11.2%
현장조사 387
 
8.6%

연결여부
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.5 KiB
분전함또는가로등과연결됨
3061 
데이터 미집계
500 
섬지역가로등
 
196
시관리대상X
 
157
개별점등
 
77

Length

Max length13
Median length12
Mean length10.700648
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row분전함또는가로등과연결됨
2nd row데이터 미집계
3rd row데이터 미집계
4th row데이터 미집계
5th row데이터 미집계

Common Values

ValueCountFrequency (%)
분전함또는가로등과연결됨 3061
76.3%
데이터 미집계 500
 
12.5%
섬지역가로등 196
 
4.9%
시관리대상X 157
 
3.9%
개별점등 77
 
1.9%
분전함또는가로등과연결안됨 21
 
0.5%

Length

2023-12-13T06:47:48.498253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:47:48.619044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
분전함또는가로등과연결됨 3061
67.8%
데이터 500
 
11.1%
미집계 500
 
11.1%
섬지역가로등 196
 
4.3%
시관리대상x 157
 
3.5%
개별점등 77
 
1.7%
분전함또는가로등과연결안됨 21
 
0.5%

도로명
Text

Distinct196
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size31.5 KiB
2023-12-13T06:47:48.945336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length4.4663509
Min length3

Characters and Unicode

Total characters17919
Distinct characters146
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

Unique58 ?
Unique (%)1.4%

Sample

1st row민양길
2nd row데이터 미집계
3rd row데이터 미집계
4th row데이터 미집계
5th row데이터 미집계
ValueCountFrequency (%)
데이터 619
 
13.4%
미집계 619
 
13.4%
안정로 206
 
4.4%
통영해안로 180
 
3.9%
평인일주로 166
 
3.6%
남해안대로 155
 
3.3%
발개로 129
 
2.8%
도남로 129
 
2.8%
중앙로 129
 
2.8%
죽림해안로 117
 
2.5%
Other values (187) 2182
47.1%
2023-12-13T06:47:49.434941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 2592
 
14.5%
안 895
 
5.0%
미 824
 
4.6%
길 801
 
4.5%
데 691
 
3.9%
해 678
 
3.8%
이 665
 
3.7%
터 626
 
3.5%
계 619
 
3.5%
집 619
 
3.5%
Other values (136) 8909
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16247
90.7%
Decimal Number 1053
 
5.9%
Space Separator 619
 
3.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 2592
 
16.0%
안 895
 
5.5%
미 824
 
5.1%
길 801
 
4.9%
데 691
 
4.3%
해 678
 
4.2%
이 665
 
4.1%
터 626
 
3.9%
계 619
 
3.8%
집 619
 
3.8%
Other values (128) 7237
44.5%
Decimal Number
ValueCountFrequency (%)
1 375
35.6%
2 247
23.5%
3 204
19.4%
4 93
 
8.8%
5 78
 
7.4%
7 42
 
4.0%
6 14
 
1.3%
Space Separator
ValueCountFrequency (%)
619
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16247
90.7%
Common 1672
 
9.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 2592
 
16.0%
안 895
 
5.5%
미 824
 
5.1%
길 801
 
4.9%
데 691
 
4.3%
해 678
 
4.2%
이 665
 
4.1%
터 626
 
3.9%
계 619
 
3.8%
집 619
 
3.8%
Other values (128) 7237
44.5%
Common
ValueCountFrequency (%)
619
37.0%
1 375
22.4%
2 247
 
14.8%
3 204
 
12.2%
4 93
 
5.6%
5 78
 
4.7%
7 42
 
2.5%
6 14
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16247
90.7%
ASCII 1672
 
9.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 2592
 
16.0%
안 895
 
5.5%
미 824
 
5.1%
길 801
 
4.9%
데 691
 
4.3%
해 678
 
4.2%
이 665
 
4.1%
터 626
 
3.9%
계 619
 
3.8%
집 619
 
3.8%
Other values (128) 7237
44.5%
ASCII
ValueCountFrequency (%)
619
37.0%
1 375
22.4%
2 247
 
14.8%
3 204
 
12.2%
4 93
 
5.6%
5 78
 
4.7%
7 42
 
2.5%
6 14
 
0.8%

표찰번호
Text

Distinct3520
Distinct (%)87.7%
Missing0
Missing (%)0.0%
Memory size31.5 KiB
2023-12-13T06:47:49.801861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.2467597
Min length3

Characters and Unicode

Total characters25062
Distinct characters44
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

Unique3509 ?
Unique (%)87.5%

Sample

1st row데이터 미집계
2nd row도천동357
3rd row도천동356
4th row도천동430
5th row도천동431
ValueCountFrequency (%)
데이터 483
 
10.7%
미집계 483
 
10.7%
용남면142 2
 
< 0.1%
용남면153 2
 
< 0.1%
용남면144 2
 
< 0.1%
중앙동145 2
 
< 0.1%
용남면152 2
 
< 0.1%
봉평동238 2
 
< 0.1%
산양읍075 2
 
< 0.1%
광도면1000 2
 
< 0.1%
Other values (3511) 3513
78.2%
2023-12-13T06:47:50.306981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2619
 
10.5%
동 2002
 
8.0%
1 1591
 
6.3%
도 1492
 
6.0%
면 1386
 
5.5%
2 1149
 
4.6%
3 1030
 
4.1%
광 960
 
3.8%
4 894
 
3.6%
5 810
 
3.2%
Other values (34) 11129
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13444
53.6%
Decimal Number 11135
44.4%
Space Separator 483
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 2002
14.9%
도 1492
 
11.1%
면 1386
 
10.3%
광 960
 
7.1%
미 706
 
5.3%
이 483
 
3.6%
계 483
 
3.6%
집 483
 
3.6%
터 483
 
3.6%
데 483
 
3.6%
Other values (23) 4483
33.3%
Decimal Number
ValueCountFrequency (%)
0 2619
23.5%
1 1591
14.3%
2 1149
10.3%
3 1030
 
9.3%
4 894
 
8.0%
5 810
 
7.3%
6 793
 
7.1%
7 759
 
6.8%
8 749
 
6.7%
9 741
 
6.7%
Space Separator
ValueCountFrequency (%)
483
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13444
53.6%
Common 11618
46.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 2002
14.9%
도 1492
 
11.1%
면 1386
 
10.3%
광 960
 
7.1%
미 706
 
5.3%
이 483
 
3.6%
계 483
 
3.6%
집 483
 
3.6%
터 483
 
3.6%
데 483
 
3.6%
Other values (23) 4483
33.3%
Common
ValueCountFrequency (%)
0 2619
22.5%
1 1591
13.7%
2 1149
9.9%
3 1030
 
8.9%
4 894
 
7.7%
5 810
 
7.0%
6 793
 
6.8%
7 759
 
6.5%
8 749
 
6.4%
9 741
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13444
53.6%
ASCII 11618
46.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2619
22.5%
1 1591
13.7%
2 1149
9.9%
3 1030
 
8.9%
4 894
 
7.7%
5 810
 
7.0%
6 793
 
6.8%
7 759
 
6.5%
8 749
 
6.4%
9 741
 
6.4%
Hangul
ValueCountFrequency (%)
동 2002
14.9%
도 1492
 
11.1%
면 1386
 
10.3%
광 960
 
7.1%
미 706
 
5.3%
이 483
 
3.6%
계 483
 
3.6%
집 483
 
3.6%
터 483
 
3.6%
데 483
 
3.6%
Other values (23) 4483
33.3%

구분ID
Real number (ℝ)

UNIQUE 

Distinct4012
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2005.5
Minimum0
Maximum4011
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size35.4 KiB
2023-12-13T06:47:50.472536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile200.55
Q11002.75
median2005.5
Q33008.25
95-th percentile3810.45
Maximum4011
Range4011
Interquartile range (IQR)2005.5

Descriptive statistics

Standard deviation1158.309
Coefficient of variation (CV)0.57756618
Kurtosis-1.2
Mean2005.5
Median Absolute Deviation (MAD)1003
Skewness0
Sum8046066
Variance1341679.7
MonotonicityStrictly increasing
2023-12-13T06:47:50.657164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1
 
< 0.1%
2680 1
 
< 0.1%
2667 1
 
< 0.1%
2668 1
 
< 0.1%
2669 1
 
< 0.1%
2670 1
 
< 0.1%
2671 1
 
< 0.1%
2672 1
 
< 0.1%
2673 1
 
< 0.1%
2674 1
 
< 0.1%
Other values (4002) 4002
99.8%
ValueCountFrequency (%)
0 1
< 0.1%
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
ValueCountFrequency (%)
4011 1
< 0.1%
4010 1
< 0.1%
4009 1
< 0.1%
4008 1
< 0.1%
4007 1
< 0.1%
4006 1
< 0.1%
4005 1
< 0.1%
4004 1
< 0.1%
4003 1
< 0.1%
4002 1
< 0.1%

경도
Real number (ℝ)

Distinct3993
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.41297
Minimum128.17994
Maximum128.51683
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.4 KiB
2023-12-13T06:47:50.842393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.17994
5-th percentile128.36996
Q1128.4094
median128.4186
Q3128.42596
95-th percentile128.44957
Maximum128.51683
Range0.3368882
Interquartile range (IQR)0.01655535

Descriptive statistics

Standard deviation0.040002729
Coefficient of variation (CV)0.00031151626
Kurtosis11.174672
Mean128.41297
Median Absolute Deviation (MAD)0.00782465
Skewness-2.6126811
Sum515192.84
Variance0.0016002183
MonotonicityNot monotonic
2023-12-13T06:47:51.040696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.4020791 2
 
< 0.1%
128.414776 2
 
< 0.1%
128.4215373 2
 
< 0.1%
128.4132115 2
 
< 0.1%
128.4098415 2
 
< 0.1%
128.4082802 2
 
< 0.1%
128.4202476 2
 
< 0.1%
128.4177038 2
 
< 0.1%
128.4138331 2
 
< 0.1%
128.4130877 2
 
< 0.1%
Other values (3983) 3992
99.5%
ValueCountFrequency (%)
128.1799397 1
< 0.1%
128.18152 1
< 0.1%
128.190575 1
< 0.1%
128.1908328 1
< 0.1%
128.1917628 1
< 0.1%
128.1926054 1
< 0.1%
128.2119444 1
< 0.1%
128.2122944 1
< 0.1%
128.2126546 1
< 0.1%
128.2127 1
< 0.1%
ValueCountFrequency (%)
128.5168279 1
< 0.1%
128.516157 1
< 0.1%
128.5155278 1
< 0.1%
128.5148745 1
< 0.1%
128.5142168 1
< 0.1%
128.5135615 1
< 0.1%
128.5129188 1
< 0.1%
128.5127552 1
< 0.1%
128.5122524 1
< 0.1%
128.5120336 1
< 0.1%

위도
Real number (ℝ)

Distinct4011
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.860852
Minimum34.624675
Maximum34.965755
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.4 KiB
2023-12-13T06:47:51.211061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.624675
5-th percentile34.793902
Q134.836534
median34.85591
Q334.882799
95-th percentile34.95538
Maximum34.965755
Range0.34108006
Interquartile range (IQR)0.046265003

Descriptive statistics

Standard deviation0.0533851
Coefficient of variation (CV)0.0015313768
Kurtosis4.7501225
Mean34.860852
Median Absolute Deviation (MAD)0.02304362
Skewness-0.9100154
Sum139861.74
Variance0.0028499689
MonotonicityNot monotonic
2023-12-13T06:47:51.364461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.84601458 2
 
< 0.1%
34.84113321 1
 
< 0.1%
34.84204183 1
 
< 0.1%
34.87429766 1
 
< 0.1%
34.87390332 1
 
< 0.1%
34.87349405 1
 
< 0.1%
34.87316521 1
 
< 0.1%
34.85444201 1
 
< 0.1%
34.85453454 1
 
< 0.1%
34.85467215 1
 
< 0.1%
Other values (4001) 4001
99.7%
ValueCountFrequency (%)
34.62467504 1
< 0.1%
34.62468563 1
< 0.1%
34.62485621 1
< 0.1%
34.62496994 1
< 0.1%
34.62525661 1
< 0.1%
34.62544116 1
< 0.1%
34.62573572 1
< 0.1%
34.62577852 1
< 0.1%
34.62586188 1
< 0.1%
34.62612189 1
< 0.1%
ValueCountFrequency (%)
34.9657551 1
< 0.1%
34.96567838 1
< 0.1%
34.96558974 1
< 0.1%
34.96552127 1
< 0.1%
34.96544384 1
< 0.1%
34.9653451 1
< 0.1%
34.965317 1
< 0.1%
34.96518744 1
< 0.1%
34.96514595 1
< 0.1%
34.96490966 1
< 0.1%

Sample

지형지물부호관리번호행정읍면동도엽번호관리기관도로구간번호공사번호분전함지형지물부호분전함관리번호설치일자등기구모형등주높이등주형식등주재질암길이등기구수량광원종류대장초기화여부비고입력근거연결여부도로명표찰번호구분ID경도위도
0가로등4237사량면348021816D통영시855데이터 미집계분전함6082015-11-20수박등7.0기본형강판1.51고압나트륨램프1KH141862008현장조사분전함또는가로등과연결됨민양길데이터 미집계0128.37868434.841133
1가로등160080사량면348021912B통영시160035RD20170001데이터 미집계02016-01-01세종형대형8.0기본형주철2.01미분류1데이터 미집계데이터 미집계데이터 미집계데이터 미집계도천동3571128.40788634.842738
2가로등160081사량면348021912B통영시160035RD20170001데이터 미집계02016-01-01세종형대형8.0기본형주철2.01미분류1데이터 미집계데이터 미집계데이터 미집계데이터 미집계도천동3562128.4078234.842976
3가로등160082사량면348021912B통영시160035RD20170001데이터 미집계02016-01-01세종형대형8.0기본형주철2.01미분류1데이터 미집계데이터 미집계데이터 미집계데이터 미집계도천동4303128.40808934.843003
4가로등160083사량면348021912B통영시160035RD20170001데이터 미집계02016-01-01세종형대형8.0기본형주철2.01미분류1데이터 미집계데이터 미집계데이터 미집계데이터 미집계도천동4314128.40802634.84323
5가로등160084사량면348021912B통영시160035RD20170001데이터 미집계02016-01-01세종형대형8.0기본형주철2.01미분류1데이터 미집계데이터 미집계데이터 미집계데이터 미집계도천동4325128.4079834.843464
6가로등160085사량면348021912B통영시160035RD20170001데이터 미집계02016-01-01세종형대형8.0기본형주철2.01미분류1데이터 미집계데이터 미집계데이터 미집계데이터 미집계도천동4336128.40790334.843726
7가로등160086사량면348021912B통영시160035RD20170001데이터 미집계02016-01-01세종형대형8.0기본형주철2.01미분류1데이터 미집계데이터 미집계데이터 미집계데이터 미집계도천동3547128.4076234.843726
8가로등160088사량면348021912B통영시160037RD20170001데이터 미집계02016-01-01세종형대형8.0기본형주철2.01미분류1데이터 미집계데이터 미집계데이터 미집계데이터 미집계도천동3528128.40750134.844214
9가로등160089사량면348021912B통영시160045RD20170001데이터 미집계02016-01-01세종형대형8.0기본형주철2.01미분류1데이터 미집계데이터 미집계데이터 미집계데이터 미집계도천동4359128.40780834.844223
지형지물부호관리번호행정읍면동도엽번호관리기관도로구간번호공사번호분전함지형지물부호분전함관리번호설치일자등기구모형등주높이등주형식등주재질암길이등기구수량광원종류대장초기화여부비고입력근거연결여부도로명표찰번호구분ID경도위도
4002가로등2021080051도산면348021315C통영시데이터 미집계데이터 미집계데이터 미집계2021080005<NA>세종형대형8.0기본형SUS<NA><NA>SUS1데이터 미집계데이터 미집계분전함또는가로등과연결됨데이터 미집계도산524002128.37039834.891457
4003가로등2021080052도산면348021315C통영시데이터 미집계데이터 미집계데이터 미집계2021080005<NA>세종형대형8.0기본형SUS<NA><NA>SUS1데이터 미집계데이터 미집계분전함또는가로등과연결됨데이터 미집계도산534003128.37084534.891838
4004가로등2021080012도산면348021304D통영시데이터 미집계데이터 미집계데이터 미집계2021080004<NA>세종형대형8.0기본형SUS<NA><NA>SUS1데이터 미집계데이터 미집계분전함또는가로등과연결됨데이터 미집계도산134004128.36949834.896148
4005가로등2021080014도산면348021304D통영시데이터 미집계데이터 미집계데이터 미집계2021080004<NA>세종형대형8.0기본형SUS<NA><NA>SUS1데이터 미집계데이터 미집계분전함또는가로등과연결됨데이터 미집계도산154005128.36981734.895561
4006가로등2021080017도산면348021315A통영시데이터 미집계데이터 미집계데이터 미집계2021080004<NA>세종형대형8.0기본형SUS<NA><NA>SUS1데이터 미집계데이터 미집계분전함또는가로등과연결됨데이터 미집계도산184006128.37002234.894611
4007가로등2021080023도산면348021315A통영시데이터 미집계데이터 미집계데이터 미집계2021080004<NA>세종형대형8.0기본형SUS<NA><NA>SUS1데이터 미집계데이터 미집계분전함또는가로등과연결됨데이터 미집계도산244007128.37010634.892852
4008가로등2021080024도산면348021315A통영시데이터 미집계데이터 미집계데이터 미집계2021080004<NA>세종형대형8.0기본형SUS<NA><NA>SUS1데이터 미집계데이터 미집계데이터 미집계데이터 미집계도산254008128.37040734.892662
4009가로등2021080038도산면348021314C통영시데이터 미집계데이터 미집계데이터 미집계2021080006<NA>세종형대형8.0기본형SUS<NA><NA>SUS1데이터 미집계데이터 미집계분전함또는가로등과연결됨데이터 미집계도산394009128.36522834.891727
4010가로등2021080047도산면348021324B통영시데이터 미집계데이터 미집계데이터 미집계2021080005<NA>세종형대형8.0기본형SUS<NA><NA>SUS1데이터 미집계데이터 미집계분전함또는가로등과연결됨데이터 미집계도산484010128.36834934.889999
4011가로등2021080048도산면348021314D통영시데이터 미집계데이터 미집계데이터 미집계2021080005<NA>세종형대형8.0기본형SUS<NA><NA>SUS1데이터 미집계데이터 미집계분전함또는가로등과연결됨데이터 미집계도산494011128.36901334.890204