Overview

Dataset statistics

Number of variables10
Number of observations39
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.3 KiB
Average record size in memory87.4 B

Variable types

Text3
Categorical5
Numeric2

Dataset

Description계룡시 관내 공공와이파이 시설 현황에 대한 데이터로 설치장소, 설치일시, 설치유형에 관한 정보를 공공데이터로 제공합니다.
Author충청남도 계룡시
URLhttps://www.data.go.kr/data/15093847/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
경도 is highly overall correlated with 서비스제공사명High correlation
서비스제공사명 is highly overall correlated with 경도 and 2 other fieldsHigh correlation
설치년월 is highly overall correlated with 서비스제공사명 and 1 other fieldsHigh correlation
관리기관명 is highly overall correlated with 서비스제공사명 and 1 other fieldsHigh correlation
서비스제공사명 is highly imbalanced (59.3%)Imbalance
관리기관명 is highly imbalanced (74.3%)Imbalance

Reproduction

Analysis started2023-12-12 07:27:34.734249
Analysis finished2023-12-12 07:27:35.867349
Duration1.13 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

설치장소명
Text

Distinct36
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size444.0 B
2023-12-12T16:27:36.032688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length7.6666667
Min length3

Characters and Unicode

Total characters299
Distinct characters93
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

Unique34 ?
Unique (%)87.2%

Sample

1st row엄사면 민원인실
2nd row엄사도서관
3rd row엄사 주민자치센터
4th row양정시외버스정류장
5th row신도안보건지소
ValueCountFrequency (%)
계룡시청 3
 
6.1%
계룡시 3
 
6.1%
계룡보건소 2
 
4.1%
계룡시민체육관 2
 
4.1%
민원인실 2
 
4.1%
주민자치센터 2
 
4.1%
엄사지역아동센터 1
 
2.0%
계룡시공용주차장 1
 
2.0%
청소년상담복지센터 1
 
2.0%
계룡시보훈회관 1
 
2.0%
Other values (31) 31
63.3%
2023-12-12T16:27:36.451818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
계 21
 
7.0%
룡 21
 
7.0%
시 17
 
5.7%
사 12
 
4.0%
소 10
 
3.3%
10
 
3.3%
도 8
 
2.7%
민 8
 
2.7%
지 8
 
2.7%
엄 7
 
2.3%
Other values (83) 177
59.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 288
96.3%
Space Separator 10
 
3.3%
Decimal Number 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
계 21
 
7.3%
룡 21
 
7.3%
시 17
 
5.9%
사 12
 
4.2%
소 10
 
3.5%
도 8
 
2.8%
민 8
 
2.8%
지 8
 
2.8%
엄 7
 
2.4%
터 7
 
2.4%
Other values (81) 169
58.7%
Space Separator
ValueCountFrequency (%)
10
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 288
96.3%
Common 11
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
계 21
 
7.3%
룡 21
 
7.3%
시 17
 
5.9%
사 12
 
4.2%
소 10
 
3.5%
도 8
 
2.8%
민 8
 
2.8%
지 8
 
2.8%
엄 7
 
2.4%
터 7
 
2.4%
Other values (81) 169
58.7%
Common
ValueCountFrequency (%)
10
90.9%
2 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 288
96.3%
ASCII 11
 
3.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
계 21
 
7.3%
룡 21
 
7.3%
시 17
 
5.9%
사 12
 
4.2%
소 10
 
3.5%
도 8
 
2.8%
민 8
 
2.8%
지 8
 
2.8%
엄 7
 
2.4%
터 7
 
2.4%
Other values (81) 169
58.7%
ASCII
ValueCountFrequency (%)
10
90.9%
2 1
 
9.1%

설치시설구분
Categorical

Distinct4
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size444.0 B
관공서
14 
서민·복지시설
13 
지역문화시설
9 
교통시설
3 

Length

Max length7
Median length6
Mean length5.1025641
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row관공서
2nd row지역문화시설
3rd row관공서
4th row교통시설
5th row서민·복지시설

Common Values

ValueCountFrequency (%)
관공서 14
35.9%
서민·복지시설 13
33.3%
지역문화시설 9
23.1%
교통시설 3
 
7.7%

Length

2023-12-12T16:27:36.620466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:27:36.754374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관공서 14
35.9%
서민·복지시설 13
33.3%
지역문화시설 9
23.1%
교통시설 3
 
7.7%

서비스제공사명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size444.0 B
KT
34 
LGU+
4 
SKT
 
1

Length

Max length4
Median length2
Mean length2.2307692
Min length2

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
KT 34
87.2%
LGU+ 4
 
10.3%
SKT 1
 
2.6%

Length

2023-12-12T16:27:36.873427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:27:36.984350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kt 34
87.2%
lgu 4
 
10.3%
skt 1
 
2.6%

설치년월
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
201712
32 
201801
7 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row201712
2nd row201712
3rd row201712
4th row201712
5th row201712

Common Values

ValueCountFrequency (%)
201712 32
82.1%
201801 7
 
17.9%

Length

2023-12-12T16:27:37.080380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:27:37.190242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
201712 32
82.1%
201801 7
 
17.9%

소재지도로명주소
Text

Distinct30
Distinct (%)76.9%
Missing0
Missing (%)0.0%
Memory size444.0 B
2023-12-12T16:27:37.396386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length19.461538
Min length14

Characters and Unicode

Total characters759
Distinct characters45
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

Unique24 ?
Unique (%)61.5%

Sample

1st row충청남도 계룡시 엄사면 번영로 47
2nd row충청남도 계룡시 엄사면 7길 17
3rd row충청남도 계룡시 엄사면 번영로 47
4th row충청남도 계룡시 엄사면 계백로 3107
5th row충청남도 계룡시 신도안면 신도안2길 61
ValueCountFrequency (%)
충청남도 39
21.1%
계룡시 39
21.1%
엄사면 21
 
11.4%
두마면 6
 
3.2%
계백로 5
 
2.7%
번영로 5
 
2.7%
31 4
 
2.2%
문화로 4
 
2.2%
28 3
 
1.6%
신도안면 3
 
1.6%
Other values (42) 56
30.3%
2023-12-12T16:27:37.762267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
146
19.2%
계 46
 
6.1%
도 45
 
5.9%
충 39
 
5.1%
청 39
 
5.1%
남 39
 
5.1%
룡 39
 
5.1%
시 39
 
5.1%
면 30
 
4.0%
1 27
 
3.6%
Other values (35) 270
35.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 492
64.8%
Space Separator 146
 
19.2%
Decimal Number 115
 
15.2%
Dash Punctuation 6
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
계 46
 
9.3%
도 45
 
9.1%
충 39
 
7.9%
청 39
 
7.9%
남 39
 
7.9%
룡 39
 
7.9%
시 39
 
7.9%
면 30
 
6.1%
로 26
 
5.3%
사 25
 
5.1%
Other values (23) 125
25.4%
Decimal Number
ValueCountFrequency (%)
1 27
23.5%
7 14
12.2%
4 13
11.3%
2 13
11.3%
3 12
10.4%
9 8
 
7.0%
8 7
 
6.1%
0 7
 
6.1%
5 7
 
6.1%
6 7
 
6.1%
Space Separator
ValueCountFrequency (%)
146
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 492
64.8%
Common 267
35.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
계 46
 
9.3%
도 45
 
9.1%
충 39
 
7.9%
청 39
 
7.9%
남 39
 
7.9%
룡 39
 
7.9%
시 39
 
7.9%
면 30
 
6.1%
로 26
 
5.3%
사 25
 
5.1%
Other values (23) 125
25.4%
Common
ValueCountFrequency (%)
146
54.7%
1 27
 
10.1%
7 14
 
5.2%
4 13
 
4.9%
2 13
 
4.9%
3 12
 
4.5%
9 8
 
3.0%
8 7
 
2.6%
0 7
 
2.6%
5 7
 
2.6%
Other values (2) 13
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 492
64.8%
ASCII 267
35.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
146
54.7%
1 27
 
10.1%
7 14
 
5.2%
4 13
 
4.9%
2 13
 
4.9%
3 12
 
4.5%
9 8
 
3.0%
8 7
 
2.6%
0 7
 
2.6%
5 7
 
2.6%
Other values (2) 13
 
4.9%
Hangul
ValueCountFrequency (%)
계 46
 
9.3%
도 45
 
9.1%
충 39
 
7.9%
청 39
 
7.9%
남 39
 
7.9%
룡 39
 
7.9%
시 39
 
7.9%
면 30
 
6.1%
로 26
 
5.3%
사 25
 
5.1%
Other values (23) 125
25.4%

소재지지번주소
Text

Distinct29
Distinct (%)74.4%
Missing0
Missing (%)0.0%
Memory size444.0 B
2023-12-12T16:27:37.954516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length20.282051
Min length15

Characters and Unicode

Total characters791
Distinct characters36
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

Unique21 ?
Unique (%)53.8%

Sample

1st row충청남도 계룡시 엄사면 엄사리 278-3
2nd row충청남도 계룡시 엄사면 엄사리 331
3rd row충청남도 계룡시 엄사면 엄사리 278-3
4th row충청남도 계룡시 엄사면 엄사리 207-2
5th row충청남도 계룡시 신도안면 남선리 957-14
ValueCountFrequency (%)
충청남도 39
21.0%
계룡시 39
21.0%
엄사면 20
10.8%
엄사리 13
 
7.0%
금암동 10
 
5.4%
유동리 7
 
3.8%
두마면 6
 
3.2%
278-3 3
 
1.6%
10 3
 
1.6%
신도안면 3
 
1.6%
Other values (32) 43
23.1%
2023-12-12T16:27:38.315871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
147
18.6%
남 42
 
5.3%
도 42
 
5.3%
계 41
 
5.2%
충 39
 
4.9%
룡 39
 
4.9%
시 39
 
4.9%
청 39
 
4.9%
엄 33
 
4.2%
사 33
 
4.2%
Other values (26) 297
37.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 481
60.8%
Space Separator 147
 
18.6%
Decimal Number 136
 
17.2%
Dash Punctuation 27
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 42
 
8.7%
도 42
 
8.7%
계 41
 
8.5%
충 39
 
8.1%
룡 39
 
8.1%
시 39
 
8.1%
청 39
 
8.1%
엄 33
 
6.9%
사 33
 
6.9%
리 29
 
6.0%
Other values (14) 105
21.8%
Decimal Number
ValueCountFrequency (%)
1 26
19.1%
2 23
16.9%
8 15
11.0%
7 14
10.3%
5 14
10.3%
3 13
9.6%
9 11
8.1%
0 11
8.1%
6 6
 
4.4%
4 3
 
2.2%
Space Separator
ValueCountFrequency (%)
147
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 481
60.8%
Common 310
39.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 42
 
8.7%
도 42
 
8.7%
계 41
 
8.5%
충 39
 
8.1%
룡 39
 
8.1%
시 39
 
8.1%
청 39
 
8.1%
엄 33
 
6.9%
사 33
 
6.9%
리 29
 
6.0%
Other values (14) 105
21.8%
Common
ValueCountFrequency (%)
147
47.4%
- 27
 
8.7%
1 26
 
8.4%
2 23
 
7.4%
8 15
 
4.8%
7 14
 
4.5%
5 14
 
4.5%
3 13
 
4.2%
9 11
 
3.5%
0 11
 
3.5%
Other values (2) 9
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 481
60.8%
ASCII 310
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
147
47.4%
- 27
 
8.7%
1 26
 
8.4%
2 23
 
7.4%
8 15
 
4.8%
7 14
 
4.5%
5 14
 
4.5%
3 13
 
4.2%
9 11
 
3.5%
0 11
 
3.5%
Other values (2) 9
 
2.9%
Hangul
ValueCountFrequency (%)
남 42
 
8.7%
도 42
 
8.7%
계 41
 
8.5%
충 39
 
8.1%
룡 39
 
8.1%
시 39
 
8.1%
청 39
 
8.1%
엄 33
 
6.9%
사 33
 
6.9%
리 29
 
6.0%
Other values (14) 105
21.8%

관리기관명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size444.0 B
계룡시청
36 
계룡역 2층대합실
 
1
엄사지역아동센터
 
1
엄사보건지소
 
1

Length

Max length9
Median length4
Mean length4.2820513
Min length4

Unique

Unique3 ?
Unique (%)7.7%

Sample

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

Common Values

ValueCountFrequency (%)
계룡시청 36
92.3%
계룡역 2층대합실 1
 
2.6%
엄사지역아동센터 1
 
2.6%
엄사보건지소 1
 
2.6%

Length

2023-12-12T16:27:38.450238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:27:38.553439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
계룡시청 36
90.0%
계룡역 1
 
2.5%
2층대합실 1
 
2.5%
엄사지역아동센터 1
 
2.5%
엄사보건지소 1
 
2.5%

위도
Real number (ℝ)

Distinct36
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.278087
Minimum36.252012
Maximum36.300694
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2023-12-12T16:27:38.677576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.252012
5-th percentile36.259522
Q136.272622
median36.274725
Q336.287493
95-th percentile36.300346
Maximum36.300694
Range0.048682
Interquartile range (IQR)0.01487155

Descriptive statistics

Standard deviation0.011434855
Coefficient of variation (CV)0.00031520005
Kurtosis-0.042662317
Mean36.278087
Median Absolute Deviation (MAD)0.0078694
Skewness0.022120503
Sum1414.8454
Variance0.00013075591
MonotonicityNot monotonic
2023-12-12T16:27:38.834363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
36.288592 2
 
5.1%
36.2747246 2
 
5.1%
36.2730596 2
 
5.1%
36.2885788 1
 
2.6%
36.2722009 1
 
2.6%
36.2889401 1
 
2.6%
36.289315 1
 
2.6%
36.255712 1
 
2.6%
36.2731759 1
 
2.6%
36.2731245 1
 
2.6%
Other values (26) 26
66.7%
ValueCountFrequency (%)
36.2520123 1
2.6%
36.255712 1
2.6%
36.2599451 1
2.6%
36.262191 1
2.6%
36.2668478 1
2.6%
36.269785 1
2.6%
36.270134 1
2.6%
36.2722009 1
2.6%
36.2722435 1
2.6%
36.2724963 1
2.6%
ValueCountFrequency (%)
36.3006943 1
2.6%
36.3003495 1
2.6%
36.3003454 1
2.6%
36.289315 1
2.6%
36.2889401 1
2.6%
36.288592 2
5.1%
36.2885788 1
2.6%
36.288558 1
2.6%
36.287555 1
2.6%
36.2874313 1
2.6%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct36
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.24638
Minimum127.23214
Maximum127.28166
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2023-12-12T16:27:38.987264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.23214
5-th percentile127.23299
Q1127.23766
median127.24222
Q3127.24998
95-th percentile127.27523
Maximum127.28166
Range0.0495154
Interquartile range (IQR)0.0123236

Descriptive statistics

Standard deviation0.013470389
Coefficient of variation (CV)0.00010586069
Kurtosis0.68350794
Mean127.24638
Median Absolute Deviation (MAD)0.0075789
Skewness1.2391382
Sum4962.6087
Variance0.00018145138
MonotonicityNot monotonic
2023-12-12T16:27:39.119635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
127.2398732 2
 
5.1%
127.2486499 2
 
5.1%
127.2341675 2
 
5.1%
127.2398659 1
 
2.6%
127.233053 1
 
2.6%
127.2409548 1
 
2.6%
127.2424268 1
 
2.6%
127.2816589 1
 
2.6%
127.2501633 1
 
2.6%
127.2501852 1
 
2.6%
Other values (26) 26
66.7%
ValueCountFrequency (%)
127.2321435 1
2.6%
127.2325407 1
2.6%
127.2330388 1
2.6%
127.233053 1
2.6%
127.233402 1
2.6%
127.2334587 1
2.6%
127.2341675 2
5.1%
127.234233 1
2.6%
127.237605 1
2.6%
127.237708 1
2.6%
ValueCountFrequency (%)
127.2816589 1
2.6%
127.276284 1
2.6%
127.2751131 1
2.6%
127.2729129 1
2.6%
127.2680536 1
2.6%
127.265264 1
2.6%
127.2591133 1
2.6%
127.2560743 1
2.6%
127.2501852 1
2.6%
127.2501633 1
2.6%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size444.0 B
20181231
39 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20181231
2nd row20181231
3rd row20181231
4th row20181231
5th row20181231

Common Values

ValueCountFrequency (%)
20181231 39
100.0%

Length

2023-12-12T16:27:39.245758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:27:39.363178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20181231 39
100.0%

Interactions

2023-12-12T16:27:35.390152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:27:35.208149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:27:35.491888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:27:35.293853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:27:39.442598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치장소명설치시설구분서비스제공사명설치년월소재지도로명주소소재지지번주소관리기관명위도경도
설치장소명1.0001.0000.5450.0000.9591.0001.0001.0001.000
설치시설구분1.0001.0000.3470.0000.9780.9870.5870.0000.654
서비스제공사명0.5450.3471.0000.3790.9790.9360.7860.0000.799
설치년월0.0000.0000.3791.0000.2460.0000.7820.0000.426
소재지도로명주소0.9590.9780.9790.2461.0000.9941.0001.0001.000
소재지지번주소1.0000.9870.9360.0000.9941.0001.0001.0001.000
관리기관명1.0000.5870.7860.7821.0001.0001.0000.2700.659
위도1.0000.0000.0000.0001.0001.0000.2701.0000.724
경도1.0000.6540.7990.4261.0001.0000.6590.7241.000
2023-12-12T16:27:39.580261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치시설구분설치년월관리기관명서비스제공사명
설치시설구분1.0000.0000.2590.328
설치년월0.0001.0000.5570.591
관리기관명0.2590.5571.0000.833
서비스제공사명0.3280.5910.8331.000
2023-12-12T16:27:39.709557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도설치시설구분서비스제공사명설치년월관리기관명
위도1.000-0.3120.0000.0000.0000.144
경도-0.3121.0000.4080.6160.2800.412
설치시설구분0.0000.4081.0000.3280.0000.259
서비스제공사명0.0000.6160.3281.0000.5910.833
설치년월0.0000.2800.0000.5911.0000.557
관리기관명0.1440.4120.2590.8330.5571.000

Missing values

2023-12-12T16:27:35.634012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:27:35.809923image/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

설치장소명설치시설구분서비스제공사명설치년월소재지도로명주소소재지지번주소관리기관명위도경도데이터기준일자
0엄사면 민원인실관공서KT201712충청남도 계룡시 엄사면 번영로 47충청남도 계룡시 엄사면 엄사리 278-3계룡시청36.288579127.23986620181231
1엄사도서관지역문화시설KT201712충청남도 계룡시 엄사면 7길 17충청남도 계룡시 엄사면 엄사리 331계룡시청36.287003127.23792720181231
2엄사 주민자치센터관공서KT201712충청남도 계룡시 엄사면 번영로 47충청남도 계룡시 엄사면 엄사리 278-3계룡시청36.288592127.23987320181231
3양정시외버스정류장교통시설KT201712충청남도 계룡시 엄사면 계백로 3107충청남도 계룡시 엄사면 엄사리 207-2계룡시청36.282383127.24223620181231
4신도안보건지소서민·복지시설KT201712충청남도 계룡시 신도안면 신도안2길 61충청남도 계룡시 신도안면 남선리 957-14계룡시청36.300694127.24221420181231
5신도안면사무소관공서KT201712충청남도 계룡시 신도안면 신도안2길 59충청남도 계룡시 신도안면 남선리 957-8계룡시청36.30035127.24222520181231
6신도안면 주민자치센터관공서KT201712충청남도 계룡시 신도안면 신도안2길 59충청남도 계룡시 신도안면 남선리 957-8계룡시청36.300345127.24221820181231
7시민정보화교육장지역문화시설KT201712충청남도 계룡시 엄사면 문화로 31충청남도 계룡시 엄사면 유동리 457계룡시청36.272797127.23423320181231
8세화주택서민·복지시설KT201712충청남도 계룡시 두마면 입암길 40-3충청남도 계룡시 두마면 입암리 29계룡시청36.252012127.26805420181231
9두마면사무소 민원인실관공서KT201712충청남도 계룡시 두마면 팥거리 2길 14충청남도 계룡시 두마면 두계리 78-7계룡시청36.266848127.27291320181231
설치장소명설치시설구분서비스제공사명설치년월소재지도로명주소소재지지번주소관리기관명위도경도데이터기준일자
29계룡문화예술의전당 시민휴게실지역문화시설KT201712충청남도 계룡시 엄사면 계백로 2967충청남도 계룡시 엄사면 유동리 292계룡시청36.272201127.23305320181231
30계룡도서관지역문화시설KT201712충청남도 계룡시 엄사면 새터산길 27충청남도 계룡시 금암동 7-1계룡시청36.276907127.24979720181231
31계룡농업기술센터관공서KT201712충청남도 계룡시 두마면 사계로 177충청남도 계룡시 두마면 왕대리 251-21계룡시청36.262191127.27628420181231
32계룡역 2층대합실교통시설SKT201801충청남도 계룡시 두마면 팥거리로 95충청남도 계룡시 두마면 두계리 136-4계룡역 2층대합실36.272909127.26526420181231
33엄사지역아동센터서민·복지시설LGU+201801충청남도 계룡시 엄사면 번영3길 73-7충청남도 계룡시 엄사면 엄사리 226-8 3층엄사지역아동센터36.282594127.23770820181231
34엄사보건지소서민·복지시설LGU+201801충청남도 계룡시 엄사면 번영3길 61-10충청남도 계룡시 엄사면 엄사리 232-50엄사보건지소36.283363127.23790820181231
35계룡시청관공서LGU+201801충청남도 계룡시 장안로 46충청남도 계룡시 금암동 10계룡시청36.274554127.24893920181231
36청소년상담복지센터서민·복지시설KT201801충청남도 계룡시 엄사면 문화로 31충청남도 계룡시 엄사면 유동리 295-1계룡시청36.27306127.23416720181231
37엄사문화쉼터지역문화시설KT201801충청남도 계룡시 엄사면 엄사중앙로 101충청남도 계룡시 엄사면 엄사리 182-5계룡시청36.288558127.24200220181231
38엄사면사무소관공서KT201801충청남도 계룡시 엄사면 번영로 47충청남도 계룡시 엄사면 엄사리 278-3계룡시청36.288592127.23987320181231