Overview

Dataset statistics

Number of variables5
Number of observations169
Missing cells11
Missing cells (%)1.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.7 KiB
Average record size in memory40.8 B

Variable types

Text3
DateTime1
Categorical1

Dataset

DescriptionN/A
Author경기도 광주시
URLhttps://www.data.go.kr/data/15121614/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
데이터관리부서 has constant value ""Constant
설치기관 연락처 has 11 (6.5%) missing valuesMissing
설치기관명 has unique valuesUnique

Reproduction

Analysis started2024-04-20 18:05:16.408128
Analysis finished2024-04-20 18:05:17.127340
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

설치기관명
Text

UNIQUE 

Distinct169
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-21T03:05:17.697960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length8.9704142
Min length3

Characters and Unicode

Total characters1516
Distinct characters256
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique169 ?
Unique (%)100.0%

Sample

1st row초월벽산블루밍아파트
2nd row오포건강생활지원센터
3rd row매곡초등학교
4th row초월역모아미래도파크힐스
5th row초월보건지소
ValueCountFrequency (%)
초월벽산블루밍아파트 1
 
0.6%
벌원초등학교 1
 
0.6%
광주시청(공원개발과 1
 
0.6%
광남동주민센터 1
 
0.6%
광주시민체육관 1
 
0.6%
선동보건진료소 1
 
0.6%
도척그린공원 1
 
0.6%
무갑리보건진료소 1
 
0.6%
초월고등학교 1
 
0.6%
태전동성원상떼빌2단지아파트 1
 
0.6%
Other values (161) 161
94.2%
2024-04-21T03:05:18.607848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 54
 
3.6%
주 50
 
3.3%
트 47
 
3.1%
광 44
 
2.9%
파 42
 
2.8%
아 40
 
2.6%
교 31
 
2.0%
초 30
 
2.0%
소 28
 
1.8%
학 28
 
1.8%
Other values (246) 1122
74.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1420
93.7%
Decimal Number 42
 
2.8%
Lowercase Letter 15
 
1.0%
Open Punctuation 14
 
0.9%
Close Punctuation 14
 
0.9%
Uppercase Letter 9
 
0.6%
Space Separator 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 54
 
3.8%
주 50
 
3.5%
트 47
 
3.3%
광 44
 
3.1%
파 42
 
3.0%
아 40
 
2.8%
교 31
 
2.2%
초 30
 
2.1%
소 28
 
2.0%
학 28
 
2.0%
Other values (215) 1026
72.3%
Lowercase Letter
ValueCountFrequency (%)
e 4
26.7%
u 2
13.3%
l 1
 
6.7%
k 1
 
6.7%
n 1
 
6.7%
i 1
 
6.7%
b 1
 
6.7%
h 1
 
6.7%
a 1
 
6.7%
g 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
1 18
42.9%
2 10
23.8%
3 4
 
9.5%
9 3
 
7.1%
5 2
 
4.8%
8 1
 
2.4%
7 1
 
2.4%
4 1
 
2.4%
0 1
 
2.4%
6 1
 
2.4%
Uppercase Letter
ValueCountFrequency (%)
T 2
22.2%
E 2
22.2%
K 1
11.1%
B 1
11.1%
P 1
11.1%
A 1
11.1%
M 1
11.1%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1420
93.7%
Common 72
 
4.7%
Latin 24
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 54
 
3.8%
주 50
 
3.5%
트 47
 
3.3%
광 44
 
3.1%
파 42
 
3.0%
아 40
 
2.8%
교 31
 
2.2%
초 30
 
2.1%
소 28
 
2.0%
학 28
 
2.0%
Other values (215) 1026
72.3%
Latin
ValueCountFrequency (%)
e 4
16.7%
T 2
 
8.3%
E 2
 
8.3%
u 2
 
8.3%
l 1
 
4.2%
K 1
 
4.2%
B 1
 
4.2%
k 1
 
4.2%
n 1
 
4.2%
i 1
 
4.2%
Other values (8) 8
33.3%
Common
ValueCountFrequency (%)
1 18
25.0%
( 14
19.4%
) 14
19.4%
2 10
13.9%
3 4
 
5.6%
9 3
 
4.2%
5 2
 
2.8%
2
 
2.8%
8 1
 
1.4%
7 1
 
1.4%
Other values (3) 3
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1420
93.7%
ASCII 96
 
6.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 54
 
3.8%
주 50
 
3.5%
트 47
 
3.3%
광 44
 
3.1%
파 42
 
3.0%
아 40
 
2.8%
교 31
 
2.2%
초 30
 
2.1%
소 28
 
2.0%
학 28
 
2.0%
Other values (215) 1026
72.3%
ASCII
ValueCountFrequency (%)
1 18
18.8%
( 14
14.6%
) 14
14.6%
2 10
10.4%
3 4
 
4.2%
e 4
 
4.2%
9 3
 
3.1%
5 2
 
2.1%
T 2
 
2.1%
E 2
 
2.1%
Other values (21) 23
24.0%

설치기관 주소
Text

Distinct155
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-21T03:05:19.466913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length39
Mean length30.094675
Min length15

Characters and Unicode

Total characters5086
Distinct characters243
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique148 ?
Unique (%)87.6%

Sample

1st row경기도 광주시 초월읍 경충대로 921(광주산이리벽산블루밍)
2nd row경기도 광주시 오포읍 오포로 884-1, 오포건강생활지원센터
3rd row경기도 광주시 오포읍 양벌로 303-5 광주매곡초등학교
4th row경기도 광주시 초월읍 경충대로1127번길 21-3 (초월역 모아미래도 파크힐스)
5th row경기도 광주시 초월읍 경충대로 1009-40, 초월보건지소
ValueCountFrequency (%)
경기도 166
 
16.3%
광주시 166
 
16.3%
오포읍 24
 
2.4%
초월읍 23
 
2.3%
태전동 20
 
2.0%
곤지암읍 18
 
1.8%
송정동 17
 
1.7%
50 11
 
1.1%
회안대로 10
 
1.0%
태봉로 9
 
0.9%
Other values (377) 553
54.4%
2024-04-21T03:05:20.593944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
848
 
16.7%
광 214
 
4.2%
주 214
 
4.2%
경 208
 
4.1%
도 195
 
3.8%
시 190
 
3.7%
기 169
 
3.3%
로 135
 
2.7%
1 134
 
2.6%
, 112
 
2.2%
Other values (233) 2667
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3285
64.6%
Space Separator 848
 
16.7%
Decimal Number 596
 
11.7%
Other Punctuation 114
 
2.2%
Close Punctuation 100
 
2.0%
Open Punctuation 100
 
2.0%
Dash Punctuation 42
 
0.8%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 214
 
6.5%
주 214
 
6.5%
경 208
 
6.3%
도 195
 
5.9%
시 190
 
5.8%
기 169
 
5.1%
로 135
 
4.1%
동 98
 
3.0%
지 68
 
2.1%
읍 66
 
2.0%
Other values (213) 1728
52.6%
Decimal Number
ValueCountFrequency (%)
1 134
22.5%
2 76
12.8%
3 66
11.1%
0 55
9.2%
5 52
 
8.7%
7 47
 
7.9%
6 46
 
7.7%
4 45
 
7.6%
9 40
 
6.7%
8 35
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 112
98.2%
* 1
 
0.9%
· 1
 
0.9%
Close Punctuation
ValueCountFrequency (%)
) 99
99.0%
] 1
 
1.0%
Open Punctuation
ValueCountFrequency (%)
( 99
99.0%
[ 1
 
1.0%
Space Separator
ValueCountFrequency (%)
848
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3285
64.6%
Common 1800
35.4%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 214
 
6.5%
주 214
 
6.5%
경 208
 
6.3%
도 195
 
5.9%
시 190
 
5.8%
기 169
 
5.1%
로 135
 
4.1%
동 98
 
3.0%
지 68
 
2.1%
읍 66
 
2.0%
Other values (213) 1728
52.6%
Common
ValueCountFrequency (%)
848
47.1%
1 134
 
7.4%
, 112
 
6.2%
) 99
 
5.5%
( 99
 
5.5%
2 76
 
4.2%
3 66
 
3.7%
0 55
 
3.1%
5 52
 
2.9%
7 47
 
2.6%
Other values (9) 212
 
11.8%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3285
64.6%
ASCII 1800
35.4%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
848
47.1%
1 134
 
7.4%
, 112
 
6.2%
) 99
 
5.5%
( 99
 
5.5%
2 76
 
4.2%
3 66
 
3.7%
0 55
 
3.1%
5 52
 
2.9%
7 47
 
2.6%
Other values (9) 212
 
11.8%
Hangul
ValueCountFrequency (%)
광 214
 
6.5%
주 214
 
6.5%
경 208
 
6.3%
도 195
 
5.9%
시 190
 
5.8%
기 169
 
5.1%
로 135
 
4.1%
동 98
 
3.0%
지 68
 
2.1%
읍 66
 
2.0%
Other values (213) 1728
52.6%
None
ValueCountFrequency (%)
· 1
100.0%

설치기관 연락처
Text

MISSING 

Distinct140
Distinct (%)88.6%
Missing11
Missing (%)6.5%
Memory size1.4 KiB
2024-04-21T03:05:21.355972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.075949
Min length11

Characters and Unicode

Total characters1908
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

Unique130 ?
Unique (%)82.3%

Sample

1st row031-798-3613
2nd row031-760-2527
3rd row031-766-4146
4th row031-760-2559
5th row031-762-5020
ValueCountFrequency (%)
031-799-2443 7
 
4.4%
031-760-2984 5
 
3.2%
031-769-1030 2
 
1.3%
031-8027-2353 2
 
1.3%
031-760-4940 2
 
1.3%
031-8026-3357 2
 
1.3%
031-760-4471 2
 
1.3%
031-764-4094 2
 
1.3%
031-760-3714 2
 
1.3%
031-760-2110 2
 
1.3%
Other values (130) 130
82.3%
2024-04-21T03:05:22.454011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 315
16.5%
0 293
15.4%
1 230
12.1%
3 221
11.6%
7 215
11.3%
6 173
9.1%
9 120
 
6.3%
4 99
 
5.2%
5 83
 
4.4%
8 82
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1593
83.5%
Dash Punctuation 315
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 293
18.4%
1 230
14.4%
3 221
13.9%
7 215
13.5%
6 173
10.9%
9 120
7.5%
4 99
 
6.2%
5 83
 
5.2%
8 82
 
5.1%
2 77
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 315
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1908
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 315
16.5%
0 293
15.4%
1 230
12.1%
3 221
11.6%
7 215
11.3%
6 173
9.1%
9 120
 
6.3%
4 99
 
5.2%
5 83
 
4.4%
8 82
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1908
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 315
16.5%
0 293
15.4%
1 230
12.1%
3 221
11.6%
7 215
11.3%
6 173
9.1%
9 120
 
6.3%
4 99
 
5.2%
5 83
 
4.4%
8 82
 
4.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2023-08-30 00:00:00
Maximum2023-08-30 00:00:00
2024-04-21T03:05:22.649333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:05:22.807917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

데이터관리부서
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
보건행정과
169 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
보건행정과 169
100.0%

Length

2024-04-21T03:05:23.065005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:05:23.259565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보건행정과 169
100.0%

Missing values

2024-04-21T03:05:16.891958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T03:05:17.058034image/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

설치기관명설치기관 주소설치기관 연락처데이터기준일자데이터관리부서
0초월벽산블루밍아파트경기도 광주시 초월읍 경충대로 921(광주산이리벽산블루밍)031-798-36132023-08-30보건행정과
1오포건강생활지원센터경기도 광주시 오포읍 오포로 884-1, 오포건강생활지원센터031-760-25272023-08-30보건행정과
2매곡초등학교경기도 광주시 오포읍 양벌로 303-5 광주매곡초등학교031-766-41462023-08-30보건행정과
3초월역모아미래도파크힐스경기도 광주시 초월읍 경충대로1127번길 21-3 (초월역 모아미래도 파크힐스)<NA>2023-08-30보건행정과
4초월보건지소경기도 광주시 초월읍 경충대로 1009-40, 초월보건지소031-760-25592023-08-30보건행정과
5도척초등학교경기도 광주시 도척면 노곡로 33 도척초등학교031-762-50202023-08-30보건행정과
6경기고속광주영업소경기도 광주시 광주대로 171(송정동)<NA>2023-08-30보건행정과
7광주소방서곤지암구급대경기도 광주시 곤지암읍 광여로 160031-799-24432023-08-30보건행정과
8광주시청(회계과)경기도 광주시 행정타운로 50, 광주시청 (송정동)031-760-29872023-08-30보건행정과
9역동e편한세상1단지아파트경기도 광주시 순암로36번길 88 (역동, 이편한세상 광주역 1단지)031-763-79312023-08-30보건행정과
설치기관명설치기관 주소설치기관 연락처데이터기준일자데이터관리부서
159태전파크자이13블럭경기도 광주시 벼루개길42번길 35-1 (태전동, 태전파크자이)031-8027-23532023-08-30보건행정과
160태전동성원3단지경기도 광주시 태봉로 79, 3단지성원아파트 상가 (태전동)031-763-78702023-08-30보건행정과
161경남아너스빌아파트경기도 광주시 회안대로 637-35 (탄벌동, 경남아너스빌 1단지)031-797-48162023-08-30보건행정과
162태전동힐스테이트5단지경기도 광주시 태전동로 50 태전동 힐스테이트5단지 (태전동, 힐스테이트 태전)031-765-54452023-08-30보건행정과
163역동e편한세상3단지경기도 광주시 순암로36번길 87 (역동, 이편한세상 광주역 3단지)031-763-74432023-08-30보건행정과
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