Overview

Dataset statistics

Number of variables7
Number of observations41
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 KiB
Average record size in memory61.2 B

Variable types

Text5
Numeric2

Dataset

Description세종특별자치시 공공기관 현황을 제공합니다.데이터는 기관명, 도로명주소, 지번주소, 위도, 경도, 전화번호, 홈페이지로 구성되어 있습니다.
Author세종특별자치시
URLhttps://www.data.go.kr/data/3074664/fileData.do

Alerts

기관명 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:03:55.318599
Analysis finished2023-12-12 21:03:56.099546
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-13T06:03:56.230956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length8.2682927
Min length3

Characters and Unicode

Total characters339
Distinct characters88
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

Unique41 ?
Unique (%)100.0%

Sample

1st row세종특별자치시청
2nd row세종특별자치시의회
3rd row보건소
4th row농업기술센터
5th row시설관리사업소
ValueCountFrequency (%)
세종세무서 2
 
4.4%
대전지방법원 2
 
4.4%
세종특별자치시청 1
 
2.2%
세종남부경찰서 1
 
2.2%
소담동행정복지센터 1
 
2.2%
해밀동주민센터 1
 
2.2%
반곡동주민센터 1
 
2.2%
나성동주민센터 1
 
2.2%
어진동주민센터 1
 
2.2%
세종경찰서 1
 
2.2%
Other values (33) 33
73.3%
2023-12-13T06:03:56.567810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
터 21
 
6.2%
센 21
 
6.2%
지 17
 
5.0%
동 16
 
4.7%
정 16
 
4.7%
세 15
 
4.4%
복 15
 
4.4%
종 14
 
4.1%
행 14
 
4.1%
소 10
 
2.9%
Other values (78) 180
53.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 335
98.8%
Space Separator 4
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 21
 
6.3%
센 21
 
6.3%
지 17
 
5.1%
동 16
 
4.8%
정 16
 
4.8%
세 15
 
4.5%
복 15
 
4.5%
종 14
 
4.2%
행 14
 
4.2%
소 10
 
3.0%
Other values (77) 176
52.5%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 335
98.8%
Common 4
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 21
 
6.3%
센 21
 
6.3%
지 17
 
5.1%
동 16
 
4.8%
정 16
 
4.8%
세 15
 
4.5%
복 15
 
4.5%
종 14
 
4.2%
행 14
 
4.2%
소 10
 
3.0%
Other values (77) 176
52.5%
Common
ValueCountFrequency (%)
4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 335
98.8%
ASCII 4
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
터 21
 
6.3%
센 21
 
6.3%
지 17
 
5.1%
동 16
 
4.8%
정 16
 
4.8%
세 15
 
4.5%
복 15
 
4.5%
종 14
 
4.2%
행 14
 
4.2%
소 10
 
3.0%
Other values (77) 176
52.5%
ASCII
ValueCountFrequency (%)
4
100.0%

도로명주소
Text

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-13T06:03:56.790960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length17.658537
Min length14

Characters and Unicode

Total characters724
Distinct characters91
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

Unique39 ?
Unique (%)95.1%

Sample

1st row세종특별자치시 한누리대로 2130
2nd row세종특별자치시 한누리대로 2120
3rd row세종특별자치시 조치원읍 대첩로 32
4th row세종특별자치시 연서면 월하천로 289
5th row세종특별자치시 전동면 심동로 354
ValueCountFrequency (%)
세종특별자치시 41
28.9%
조치원읍 8
 
5.6%
한누리대로 5
 
3.5%
새내16길 3
 
2.1%
시청대로 3
 
2.1%
운주산로 2
 
1.4%
27 2
 
1.4%
대첩로 2
 
1.4%
10 2
 
1.4%
연서면 2
 
1.4%
Other values (71) 72
50.7%
2023-12-13T06:03:57.144271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
101
 
14.0%
치 49
 
6.8%
시 44
 
6.1%
세 42
 
5.8%
종 42
 
5.8%
특 41
 
5.7%
별 41
 
5.7%
자 41
 
5.7%
로 33
 
4.6%
1 26
 
3.6%
Other values (81) 264
36.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 498
68.8%
Decimal Number 124
 
17.1%
Space Separator 101
 
14.0%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 49
 
9.8%
시 44
 
8.8%
세 42
 
8.4%
종 42
 
8.4%
특 41
 
8.2%
별 41
 
8.2%
자 41
 
8.2%
로 33
 
6.6%
면 11
 
2.2%
대 11
 
2.2%
Other values (69) 143
28.7%
Decimal Number
ValueCountFrequency (%)
1 26
21.0%
2 20
16.1%
3 15
12.1%
0 13
10.5%
8 10
 
8.1%
4 10
 
8.1%
7 9
 
7.3%
5 8
 
6.5%
6 8
 
6.5%
9 5
 
4.0%
Space Separator
ValueCountFrequency (%)
101
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 498
68.8%
Common 226
31.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 49
 
9.8%
시 44
 
8.8%
세 42
 
8.4%
종 42
 
8.4%
특 41
 
8.2%
별 41
 
8.2%
자 41
 
8.2%
로 33
 
6.6%
면 11
 
2.2%
대 11
 
2.2%
Other values (69) 143
28.7%
Common
ValueCountFrequency (%)
101
44.7%
1 26
 
11.5%
2 20
 
8.8%
3 15
 
6.6%
0 13
 
5.8%
8 10
 
4.4%
4 10
 
4.4%
7 9
 
4.0%
5 8
 
3.5%
6 8
 
3.5%
Other values (2) 6
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 498
68.8%
ASCII 226
31.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
101
44.7%
1 26
 
11.5%
2 20
 
8.8%
3 15
 
6.6%
0 13
 
5.8%
8 10
 
4.4%
4 10
 
4.4%
7 9
 
4.0%
5 8
 
3.5%
6 8
 
3.5%
Other values (2) 6
 
2.7%
Hangul
ValueCountFrequency (%)
치 49
 
9.8%
시 44
 
8.8%
세 42
 
8.4%
종 42
 
8.4%
특 41
 
8.2%
별 41
 
8.2%
자 41
 
8.2%
로 33
 
6.6%
면 11
 
2.2%
대 11
 
2.2%
Other values (69) 143
28.7%

지번주소
Text

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-13T06:03:57.393000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length17.707317
Min length15

Characters and Unicode

Total characters726
Distinct characters82
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

Unique39 ?
Unique (%)95.1%

Sample

1st row세종특별자치시 보람동 663
2nd row세종특별자치시 보람동 625-6
3rd row세종특별자치시 조치원읍 신흥리 53-1
4th row세종특별자치시 연서면 쌍전리 16
5th row세종특별자치시 전동면 심중리 82
ValueCountFrequency (%)
세종특별자치시 41
28.7%
보람동 8
 
5.6%
조치원읍 8
 
5.6%
교리 3
 
2.1%
8-11 2
 
1.4%
연서면 2
 
1.4%
소담동 2
 
1.4%
전동면 2
 
1.4%
518 1
 
0.7%
579 1
 
0.7%
Other values (73) 73
51.0%
2023-12-13T06:03:57.806138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
102
 
14.0%
치 49
 
6.7%
종 43
 
5.9%
세 42
 
5.8%
별 42
 
5.8%
특 41
 
5.6%
자 41
 
5.6%
시 41
 
5.6%
동 25
 
3.4%
6 25
 
3.4%
Other values (72) 275
37.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 477
65.7%
Decimal Number 132
 
18.2%
Space Separator 102
 
14.0%
Dash Punctuation 15
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 49
 
10.3%
종 43
 
9.0%
세 42
 
8.8%
별 42
 
8.8%
특 41
 
8.6%
자 41
 
8.6%
시 41
 
8.6%
동 25
 
5.2%
리 19
 
4.0%
면 11
 
2.3%
Other values (60) 123
25.8%
Decimal Number
ValueCountFrequency (%)
6 25
18.9%
1 22
16.7%
3 15
11.4%
5 14
10.6%
8 13
9.8%
2 12
9.1%
7 10
 
7.6%
4 9
 
6.8%
9 7
 
5.3%
0 5
 
3.8%
Space Separator
ValueCountFrequency (%)
102
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 477
65.7%
Common 249
34.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 49
 
10.3%
종 43
 
9.0%
세 42
 
8.8%
별 42
 
8.8%
특 41
 
8.6%
자 41
 
8.6%
시 41
 
8.6%
동 25
 
5.2%
리 19
 
4.0%
면 11
 
2.3%
Other values (60) 123
25.8%
Common
ValueCountFrequency (%)
102
41.0%
6 25
 
10.0%
1 22
 
8.8%
3 15
 
6.0%
- 15
 
6.0%
5 14
 
5.6%
8 13
 
5.2%
2 12
 
4.8%
7 10
 
4.0%
4 9
 
3.6%
Other values (2) 12
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 477
65.7%
ASCII 249
34.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
102
41.0%
6 25
 
10.0%
1 22
 
8.8%
3 15
 
6.0%
- 15
 
6.0%
5 14
 
5.6%
8 13
 
5.2%
2 12
 
4.8%
7 10
 
4.0%
4 9
 
3.6%
Other values (2) 12
 
4.8%
Hangul
ValueCountFrequency (%)
치 49
 
10.3%
종 43
 
9.0%
세 42
 
8.8%
별 42
 
8.8%
특 41
 
8.6%
자 41
 
8.6%
시 41
 
8.6%
동 25
 
5.2%
리 19
 
4.0%
면 11
 
2.3%
Other values (60) 123
25.8%

위도
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.53874
Minimum36.463737
Maximum36.722309
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-13T06:03:57.931408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.463737
5-th percentile36.478089
Q136.480917
median36.512352
Q336.59597
95-th percentile36.670859
Maximum36.722309
Range0.25857239
Interquartile range (IQR)0.115053

Descriptive statistics

Standard deviation0.067790275
Coefficient of variation (CV)0.0018552987
Kurtosis0.028630463
Mean36.53874
Median Absolute Deviation (MAD)0.0335021
Skewness0.97218529
Sum1498.0883
Variance0.0045955214
MonotonicityNot monotonic
2023-12-13T06:03:58.054714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
36.60451148 2
 
4.9%
36.48005799 1
 
2.4%
36.58822907 1
 
2.4%
36.4710082 1
 
2.4%
36.4840715 1
 
2.4%
36.5270351 1
 
2.4%
36.4920077 1
 
2.4%
36.4864222 1
 
2.4%
36.5018768 1
 
2.4%
36.4878784 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
36.46373697 1
2.4%
36.4710082 1
2.4%
36.478089 1
2.4%
36.4783338 1
2.4%
36.47877461 1
2.4%
36.4788494 1
2.4%
36.47917404 1
2.4%
36.48002104 1
2.4%
36.48005799 1
2.4%
36.48054875 1
2.4%
ValueCountFrequency (%)
36.72230936 1
2.4%
36.68004984 1
2.4%
36.67085946 1
2.4%
36.6560525 1
2.4%
36.60589696 1
2.4%
36.60454817 1
2.4%
36.60451148 2
4.9%
36.6035059 1
2.4%
36.6014999 1
2.4%
36.5959704 1
2.4%

경도
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.27731
Minimum127.1586
Maximum127.37075
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-13T06:03:58.176741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.1586
5-th percentile127.20562
Q1127.26175
median127.28637
Q3127.29633
95-th percentile127.31153
Maximum127.37075
Range0.2121549
Interquartile range (IQR)0.0345877

Descriptive statistics

Standard deviation0.035278394
Coefficient of variation (CV)0.0002771774
Kurtosis3.2817006
Mean127.27731
Median Absolute Deviation (MAD)0.0139952
Skewness-0.91461343
Sum5218.3697
Variance0.0012445651
MonotonicityNot monotonic
2023-12-13T06:03:58.293379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
127.2991832 2
 
4.9%
127.2890394 1
 
2.4%
127.294874 1
 
2.4%
127.2793239 1
 
2.4%
127.3003644 1
 
2.4%
127.2683523 1
 
2.4%
127.3115268 1
 
2.4%
127.2637566 1
 
2.4%
127.2562323 1
 
2.4%
127.3015856 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
127.1585982 1
2.4%
127.2030498 1
2.4%
127.2056188 1
2.4%
127.2365898 1
2.4%
127.2468694 1
2.4%
127.2468897 1
2.4%
127.2503429 1
2.4%
127.2546671 1
2.4%
127.2562323 1
2.4%
127.2565186 1
2.4%
ValueCountFrequency (%)
127.3707531 1
2.4%
127.327369 1
2.4%
127.3115268 1
2.4%
127.3030563 1
2.4%
127.3015856 1
2.4%
127.3003644 1
2.4%
127.3002898 1
2.4%
127.2991832 2
4.9%
127.2984603 1
2.4%
127.2963339 1
2.4%

전화번호
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-13T06:03:58.497995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.926829
Min length9

Characters and Unicode

Total characters489
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

Unique41 ?
Unique (%)100.0%

Sample

1st row044-300-3114
2nd row044-300-7000
3rd row044-301-2000
4th row044-301-2500
5th row044-301-3500
ValueCountFrequency (%)
044-300-3114 1
 
2.4%
044-301-6800 1
 
2.4%
044-301-6900 1
 
2.4%
044-301-7000 1
 
2.4%
044-301-7400 1
 
2.4%
044-301-7300 1
 
2.4%
044-301-7600 1
 
2.4%
044-301-7500 1
 
2.4%
044-559-2024 1
 
2.4%
044-860-0324 1
 
2.4%
Other values (31) 31
75.6%
2023-12-13T06:03:58.876457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 151
30.9%
4 91
18.6%
- 81
16.6%
3 40
 
8.2%
1 37
 
7.6%
5 20
 
4.1%
6 18
 
3.7%
8 16
 
3.3%
2 14
 
2.9%
7 13
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 408
83.4%
Dash Punctuation 81
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 151
37.0%
4 91
22.3%
3 40
 
9.8%
1 37
 
9.1%
5 20
 
4.9%
6 18
 
4.4%
8 16
 
3.9%
2 14
 
3.4%
7 13
 
3.2%
9 8
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 81
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 489
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 151
30.9%
4 91
18.6%
- 81
16.6%
3 40
 
8.2%
1 37
 
7.6%
5 20
 
4.1%
6 18
 
3.7%
8 16
 
3.3%
2 14
 
2.9%
7 13
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 489
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 151
30.9%
4 91
18.6%
- 81
16.6%
3 40
 
8.2%
1 37
 
7.6%
5 20
 
4.1%
6 18
 
3.7%
8 16
 
3.3%
2 14
 
2.9%
7 13
 
2.7%

홈페이지
Text

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-13T06:03:59.097890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length86
Median length42
Mean length39.878049
Min length26

Characters and Unicode

Total characters1635
Distinct characters46
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)95.1%

Sample

1st rowhttps://www.sejong.go.kr/index.jsp
2nd rowhttps://council.sejong.go.kr/
3rd rowhttps://www.sejong.go.kr/health.do
4th rowhttps://www.sejong.go.kr/adtc.do
5th rowhttps://www.sejong.go.kr/facility.do
ValueCountFrequency (%)
https://d.nts.go.kr/sejong/main.do 2
 
4.9%
https://www.sejong.go.kr/index.jsp 1
 
2.4%
https://www.sejong.go.kr/eojin/index.do 1
 
2.4%
https://www.sjpolice.go.kr 1
 
2.4%
https://www.sejong.go.kr/dajeong/index.do 1
 
2.4%
https://www.sejong.go.kr/daepyung/index.do 1
 
2.4%
https://www.sejong.go.kr/sodam/index.do 1
 
2.4%
https://www.sejong.go.kr/haemil/index.do 1
 
2.4%
https://www.sejong.go.kr/bangok/index.do 1
 
2.4%
https://www.sejong.go.kr/naseong/index.do 1
 
2.4%
Other values (30) 30
73.2%
2023-12-13T06:03:59.467694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 163
 
10.0%
. 159
 
9.7%
o 152
 
9.3%
w 110
 
6.7%
n 101
 
6.2%
t 94
 
5.7%
s 93
 
5.7%
e 92
 
5.6%
g 89
 
5.4%
d 73
 
4.5%
Other values (36) 509
31.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1246
76.2%
Other Punctuation 364
 
22.3%
Uppercase Letter 14
 
0.9%
Decimal Number 9
 
0.6%
Connector Punctuation 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 152
12.2%
w 110
 
8.8%
n 101
 
8.1%
t 94
 
7.5%
s 93
 
7.5%
e 92
 
7.4%
g 89
 
7.1%
d 73
 
5.9%
i 54
 
4.3%
r 53
 
4.3%
Other values (13) 335
26.9%
Uppercase Letter
ValueCountFrequency (%)
S 3
21.4%
E 2
14.3%
O 2
14.3%
I 1
 
7.1%
A 1
 
7.1%
L 1
 
7.1%
B 1
 
7.1%
N 1
 
7.1%
J 1
 
7.1%
R 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
3 2
22.2%
8 2
22.2%
1 1
11.1%
7 1
11.1%
0 1
11.1%
2 1
11.1%
9 1
11.1%
Other Punctuation
ValueCountFrequency (%)
/ 163
44.8%
. 159
43.7%
: 41
 
11.3%
? 1
 
0.3%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1260
77.1%
Common 375
 
22.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 152
12.1%
w 110
 
8.7%
n 101
 
8.0%
t 94
 
7.5%
s 93
 
7.4%
e 92
 
7.3%
g 89
 
7.1%
d 73
 
5.8%
i 54
 
4.3%
r 53
 
4.2%
Other values (23) 349
27.7%
Common
ValueCountFrequency (%)
/ 163
43.5%
. 159
42.4%
: 41
 
10.9%
3 2
 
0.5%
8 2
 
0.5%
_ 1
 
0.3%
1 1
 
0.3%
7 1
 
0.3%
0 1
 
0.3%
2 1
 
0.3%
Other values (3) 3
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1635
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 163
 
10.0%
. 159
 
9.7%
o 152
 
9.3%
w 110
 
6.7%
n 101
 
6.2%
t 94
 
5.7%
s 93
 
5.7%
e 92
 
5.6%
g 89
 
5.4%
d 73
 
4.5%
Other values (36) 509
31.1%

Interactions

2023-12-13T06:03:55.833038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:03:55.713620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:03:55.894093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:03:55.771263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:03:59.576298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관명도로명주소지번주소위도경도전화번호홈페이지
기관명1.0001.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.0000.995
지번주소1.0001.0001.0001.0001.0001.0000.995
위도1.0001.0001.0001.0000.7921.0000.978
경도1.0001.0001.0000.7921.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.000
홈페이지1.0000.9950.9950.9781.0001.0001.000
2023-12-13T06:03:59.697670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.084
경도0.0841.000

Missing values

2023-12-13T06:03:55.974263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:03:56.061936image/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

기관명도로명주소지번주소위도경도전화번호홈페이지
0세종특별자치시청세종특별자치시 한누리대로 2130세종특별자치시 보람동 66336.480058127.289039044-300-3114https://www.sejong.go.kr/index.jsp
1세종특별자치시의회세종특별자치시 한누리대로 2120세종특별자치시 보람동 625-636.480021127.290451044-300-7000https://council.sejong.go.kr/
2보건소세종특별자치시 조치원읍 대첩로 32세종특별자치시 조치원읍 신흥리 53-136.59597127.292677044-301-2000https://www.sejong.go.kr/health.do
3농업기술센터세종특별자치시 연서면 월하천로 289세종특별자치시 연서면 쌍전리 1636.572999127.283188044-301-2500https://www.sejong.go.kr/adtc.do
4시설관리사업소세종특별자치시 전동면 심동로 354세종특별자치시 전동면 심중리 8236.670859127.30029044-301-3500https://www.sejong.go.kr/facility.do
5조치원읍행정복지센터세종특별자치시 조치원읍 새내16길 17세종특별자치시 조치원읍 교리 9-136.604548127.29846044-301-5000https://www.sejong.go.kr/jochiwon/index.do
6연기면사무소세종특별자치시 연기면 당산로 81세종특별자치시 연기면 한별리 317-3436.541827127.273531044-301-5200https://www.sejong.go.kr/yeongi/index.do
7연동면사무소세종특별자치시 연동면 장욱진로 7세종특별자치시 연동면 내판리 33-136.555336127.327369044-301-5300https://www.sejong.go.kr/yeondong/index.do
8부강면행정복지센터세종특별자치시 부강면 부강5길 38세종특별자치시 부강면 부강리 13836.529426127.370753044-301-5400https://www.sejong.go.kr/bukang/index.do
9금남면행정복지센터세종특별자치시 금남면 용포로 57세종특별자치시 금남면 용포리 122-136.463737127.280287044-301-5500https://www.sejong.go.kr/gumnam/index.do
기관명도로명주소지번주소위도경도전화번호홈페이지
31세종남부경찰서세종특별자치시 시청대로 190세종특별자치시 보람동 0 세종남부경찰서36.480917127.292674044-320-8324https://www.sjpolice.go.kr/SEO/NB/index.php
32세종특별자치시교육청세종특별자치시 한누리대로 2154세종특별자치시 보람동 664-1736.478089127.286369044-320-1000https://www.sje.go.kr/sje/
33세종우체국세종특별자치시 시청대로 180세종특별자치시 보람동 624-636.480549127.291856044-410-1004https://www.koreapost.go.kr/339/index.do
34세종특별자치시 선거관리위원회세종특별자치시 남세종로 426세종특별자치시 보람동 76836.478334127.292354044-864-1390https://sj.nec.go.kr/sj/main/main.do
35대전지방법원 세종특별자치시법원세종특별자치시 조치원읍 새내16길 27세종특별자치시 조치원읍 교리 8-1136.604511127.299183044-867-4500https://daejeon.scourt.go.kr/info/location/new/LocationIframeAction.work?bub_cd=280871
36대전지방법원 세종특별자치시등기소세종특별자치시 조치원읍 새내16길 27세종특별자치시 조치원읍 교리 8-1136.604511127.299183044-867-0999https://daejeon.scourt.go.kr/jibubmgr/regofficeinfo/Regofficeinfo.work
37세종고용복지플러스센터세종특별자치시 조치원읍 터미널안길 60세종특별자치시 조치원읍 상리 9636.6015127.303056044-865-3219https://www.work.go.kr/sejong/main.do
38세종세무서세종특별자치시 시청대로 126세종특별자치시 보람동 72436.478849127.285972044-850-8200https://d.nts.go.kr/sejong/main.do
39세종세무서 조치원민원실세종특별자치시 조치원읍 충현로 193세종특별자치시 조치원읍 침산리 256-636.605897127.29387044-850-8226https://d.nts.go.kr/sejong/main.do
40조치원역세종특별자치시 조치원읍 으뜸길 215세종특별자치시 조치원읍 원리 141-6236.603506127.2963341588-7788https://www.letskorail.com/