Overview

Dataset statistics

Number of variables4
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory900.0 B
Average record size in memory37.5 B

Variable types

Text4

Dataset

Description경상북도 영천시의 관내 보건지소 및 보건진료소의 주소, 전화번호, 위치안내 등의 정보를 등록하여 보건지소 및 보건진료소를 이용할 수 있도록 관련 데이터를 제공
Author경상북도 영천시
URLhttps://www.data.go.kr/data/15111926/fileData.do

Alerts

명칭 has unique valuesUnique
주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:42:00.282602
Analysis finished2023-12-12 06:42:00.681762
Duration0.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

명칭
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-12T15:42:00.842797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.5416667
Min length6

Characters and Unicode

Total characters157
Distinct characters42
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row금호보건지소
2nd row청통보건지소
3rd row신녕보건지소
4th row화산보건지소
5th row화북보건지소
ValueCountFrequency (%)
금호보건지소 1
 
4.2%
청통보건지소 1
 
4.2%
명주보건진료소 1
 
4.2%
삼포보건진료소 1
 
4.2%
파계보건진료소 1
 
4.2%
사리보건진료소 1
 
4.2%
평천보건진료소 1
 
4.2%
보현보건진료소 1
 
4.2%
안천보건진료소 1
 
4.2%
상송보건진료소 1
 
4.2%
Other values (14) 14
58.3%
2023-12-12T15:42:01.211550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
보 25
15.9%
건 24
15.3%
소 24
15.3%
료 13
 
8.3%
진 13
 
8.3%
지 11
 
7.0%
천 4
 
2.5%
화 3
 
1.9%
북 2
 
1.3%
호 2
 
1.3%
Other values (32) 36
22.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 157
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
보 25
15.9%
건 24
15.3%
소 24
15.3%
료 13
 
8.3%
진 13
 
8.3%
지 11
 
7.0%
천 4
 
2.5%
화 3
 
1.9%
북 2
 
1.3%
호 2
 
1.3%
Other values (32) 36
22.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 157
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 25
15.9%
건 24
15.3%
소 24
15.3%
료 13
 
8.3%
진 13
 
8.3%
지 11
 
7.0%
천 4
 
2.5%
화 3
 
1.9%
북 2
 
1.3%
호 2
 
1.3%
Other values (32) 36
22.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 157
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
보 25
15.9%
건 24
15.3%
소 24
15.3%
료 13
 
8.3%
진 13
 
8.3%
지 11
 
7.0%
천 4
 
2.5%
화 3
 
1.9%
북 2
 
1.3%
호 2
 
1.3%
Other values (32) 36
22.9%

주소
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-12T15:42:01.469389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length16.083333
Min length14

Characters and Unicode

Total characters386
Distinct characters64
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 (%)100.0%

Sample

1st row영천시 금호읍 교대8길 13
2nd row영천시 청통면 청통초등길 11
3rd row영천시 신녕면 신화로 26
4th row영천시 화산면 연지길 14
5th row영천시 화북면 화북길 93
ValueCountFrequency (%)
영천시 24
25.3%
고경면 3
 
3.2%
임고면 3
 
3.2%
운북로 2
 
2.1%
청통면 2
 
2.1%
포은로 2
 
2.1%
자양면 2
 
2.1%
화남면 2
 
2.1%
북안면 2
 
2.1%
화북면 2
 
2.1%
Other values (46) 51
53.7%
2023-12-12T15:42:01.859506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
71
18.4%
1 25
 
6.5%
천 25
 
6.5%
영 24
 
6.2%
시 24
 
6.2%
면 22
 
5.7%
로 16
 
4.1%
2 9
 
2.3%
화 9
 
2.3%
4 8
 
2.1%
Other values (54) 153
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 225
58.3%
Decimal Number 84
 
21.8%
Space Separator 71
 
18.4%
Dash Punctuation 6
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 25
 
11.1%
영 24
 
10.7%
시 24
 
10.7%
면 22
 
9.8%
로 16
 
7.1%
화 9
 
4.0%
길 8
 
3.6%
북 7
 
3.1%
고 6
 
2.7%
호 4
 
1.8%
Other values (42) 80
35.6%
Decimal Number
ValueCountFrequency (%)
1 25
29.8%
2 9
 
10.7%
4 8
 
9.5%
5 8
 
9.5%
0 6
 
7.1%
3 6
 
7.1%
6 6
 
7.1%
8 6
 
7.1%
7 5
 
6.0%
9 5
 
6.0%
Space Separator
ValueCountFrequency (%)
71
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 225
58.3%
Common 161
41.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 25
 
11.1%
영 24
 
10.7%
시 24
 
10.7%
면 22
 
9.8%
로 16
 
7.1%
화 9
 
4.0%
길 8
 
3.6%
북 7
 
3.1%
고 6
 
2.7%
호 4
 
1.8%
Other values (42) 80
35.6%
Common
ValueCountFrequency (%)
71
44.1%
1 25
 
15.5%
2 9
 
5.6%
4 8
 
5.0%
5 8
 
5.0%
- 6
 
3.7%
0 6
 
3.7%
3 6
 
3.7%
6 6
 
3.7%
8 6
 
3.7%
Other values (2) 10
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 225
58.3%
ASCII 161
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
71
44.1%
1 25
 
15.5%
2 9
 
5.6%
4 8
 
5.0%
5 8
 
5.0%
- 6
 
3.7%
0 6
 
3.7%
3 6
 
3.7%
6 6
 
3.7%
8 6
 
3.7%
Other values (2) 10
 
6.2%
Hangul
ValueCountFrequency (%)
천 25
 
11.1%
영 24
 
10.7%
시 24
 
10.7%
면 22
 
9.8%
로 16
 
7.1%
화 9
 
4.0%
길 8
 
3.6%
북 7
 
3.1%
고 6
 
2.7%
호 4
 
1.8%
Other values (42) 80
35.6%

전화번호
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-12T15:42:02.098677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters288
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

Unique24 ?
Unique (%)100.0%

Sample

1st row054-339-8300
2nd row054-339-8310
3rd row054-339-8320
4th row054-339-8330
5th row054-339-8340
ValueCountFrequency (%)
054-339-8300 1
 
4.2%
054-339-8310 1
 
4.2%
054-330-6798 1
 
4.2%
054-330-6797 1
 
4.2%
054-330-6796 1
 
4.2%
054-330-6795 1
 
4.2%
054-330-6794 1
 
4.2%
054-330-6793 1
 
4.2%
054-330-6792 1
 
4.2%
054-330-6791 1
 
4.2%
Other values (14) 14
58.3%
2023-12-12T15:42:02.490718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 61
21.2%
0 48
16.7%
- 48
16.7%
5 27
9.4%
4 27
9.4%
9 24
 
8.3%
8 17
 
5.9%
7 16
 
5.6%
6 15
 
5.2%
1 3
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 240
83.3%
Dash Punctuation 48
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 61
25.4%
0 48
20.0%
5 27
11.2%
4 27
11.2%
9 24
 
10.0%
8 17
 
7.1%
7 16
 
6.7%
6 15
 
6.2%
1 3
 
1.2%
2 2
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 288
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 61
21.2%
0 48
16.7%
- 48
16.7%
5 27
9.4%
4 27
9.4%
9 24
 
8.3%
8 17
 
5.9%
7 16
 
5.6%
6 15
 
5.2%
1 3
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 288
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 61
21.2%
0 48
16.7%
- 48
16.7%
5 27
9.4%
4 27
9.4%
9 24
 
8.3%
8 17
 
5.9%
7 16
 
5.6%
6 15
 
5.2%
1 3
 
1.0%

위치 안내
Text

Distinct20
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-12T15:42:02.756545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length32
Mean length19.375
Min length9

Characters and Unicode

Total characters465
Distinct characters78
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

Unique18 ?
Unique (%)75.0%

Sample

1st row읍사무소 정문 좌측 5m지점
2nd row면사무소 건물 좌측지점
3rd row면사무소 정문 좌측 5m지점
4th row면사무소 건물 우측지점
5th row면사무소 건물 우측지점
ValueCountFrequency (%)
약 10
 
9.9%
면사무소 9
 
8.9%
면소재지에서 8
 
7.9%
건물 8
 
7.9%
우측지점 4
 
4.0%
좌측지점 3
 
3.0%
좌측 3
 
3.0%
지점에서 3
 
3.0%
2㎞지점 2
 
2.0%
포항방면 2
 
2.0%
Other values (42) 49
48.5%
2023-12-12T15:42:03.186807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
77
 
16.6%
지 39
 
8.4%
면 28
 
6.0%
점 28
 
6.0%
소 18
 
3.9%
에 17
 
3.7%
서 17
 
3.7%
측 16
 
3.4%
약 12
 
2.6%
방 12
 
2.6%
Other values (68) 201
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 329
70.8%
Space Separator 77
 
16.6%
Decimal Number 27
 
5.8%
Lowercase Letter 14
 
3.0%
Other Symbol 11
 
2.4%
Close Punctuation 3
 
0.6%
Open Punctuation 3
 
0.6%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 39
 
11.9%
면 28
 
8.5%
점 28
 
8.5%
소 18
 
5.5%
에 17
 
5.2%
서 17
 
5.2%
측 16
 
4.9%
약 12
 
3.6%
방 12
 
3.6%
사 11
 
3.3%
Other values (55) 131
39.8%
Decimal Number
ValueCountFrequency (%)
0 6
22.2%
2 6
22.2%
5 5
18.5%
1 4
14.8%
3 3
11.1%
4 3
11.1%
Lowercase Letter
ValueCountFrequency (%)
m 10
71.4%
k 4
 
28.6%
Space Separator
ValueCountFrequency (%)
77
100.0%
Other Symbol
ValueCountFrequency (%)
㎞ 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
K 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 329
70.8%
Common 121
 
26.0%
Latin 15
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 39
 
11.9%
면 28
 
8.5%
점 28
 
8.5%
소 18
 
5.5%
에 17
 
5.2%
서 17
 
5.2%
측 16
 
4.9%
약 12
 
3.6%
방 12
 
3.6%
사 11
 
3.3%
Other values (55) 131
39.8%
Common
ValueCountFrequency (%)
77
63.6%
㎞ 11
 
9.1%
0 6
 
5.0%
2 6
 
5.0%
5 5
 
4.1%
1 4
 
3.3%
) 3
 
2.5%
( 3
 
2.5%
3 3
 
2.5%
4 3
 
2.5%
Latin
ValueCountFrequency (%)
m 10
66.7%
k 4
 
26.7%
K 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 329
70.8%
ASCII 125
 
26.9%
CJK Compat 11
 
2.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
77
61.6%
m 10
 
8.0%
0 6
 
4.8%
2 6
 
4.8%
5 5
 
4.0%
k 4
 
3.2%
1 4
 
3.2%
) 3
 
2.4%
( 3
 
2.4%
3 3
 
2.4%
Other values (2) 4
 
3.2%
Hangul
ValueCountFrequency (%)
지 39
 
11.9%
면 28
 
8.5%
점 28
 
8.5%
소 18
 
5.5%
에 17
 
5.2%
서 17
 
5.2%
측 16
 
4.9%
약 12
 
3.6%
방 12
 
3.6%
사 11
 
3.3%
Other values (55) 131
39.8%
CJK Compat
ValueCountFrequency (%)
㎞ 11
100.0%

Correlations

2023-12-12T15:42:03.295632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
명칭주소전화번호위치 안내
명칭1.0001.0001.0001.000
주소1.0001.0001.0001.000
전화번호1.0001.0001.0001.000
위치 안내1.0001.0001.0001.000

Missing values

2023-12-12T15:42:00.541079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:42:00.642656image/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

명칭주소전화번호위치 안내
0금호보건지소영천시 금호읍 교대8길 13054-339-8300읍사무소 정문 좌측 5m지점
1청통보건지소영천시 청통면 청통초등길 11054-339-8310면사무소 건물 좌측지점
2신녕보건지소영천시 신녕면 신화로 26054-339-8320면사무소 정문 좌측 5m지점
3화산보건지소영천시 화산면 연지길 14054-339-8330면사무소 건물 우측지점
4화북보건지소영천시 화북면 화북길 93054-339-8340면사무소 건물 우측지점
5화남보건지소영천시 화남면 신화로 1193054-339-8350면사무소 건물 좌측지점
6자양보건지소영천시 자양면 포은로 1625-10054-339-8345면사무소 건물 뒤편
7임고보건지소영천시 임고면 포은로 491054-339-8360면사무소 건물 입구
8고경보건지소영천시 고경면 호국로 1065-20054-339-8370면사무소 건물 우측지점
9북안보건지소영천시 북안면 운북로 2051054-339-8380복지회관 우측지점
명칭주소전화번호위치 안내
14암기보건진료소영천시 화산면 가내실로 194054-330-6790삼부삼거리지나(신녕방면)약 100m 지점에서 우측으로 2km지점
15상송보건진료소영천시 화북면 상송안길 34-13054-330-6791면소재지에서 청송방면 약 4km지점
16안천보건진료소영천시 화남면 능계1길 26-5054-330-6792면소재지에서 청송방면 2㎞지점에서 좌측(신안물탕) 약 2km지점
17보현보건진료소영천시 자양면 별빛로 1126054-330-6793충효삼거리에서 천문대방면 약 3㎞지점
18평천보건진료소영천시 임고면 평천다산길11054-330-6794면소재지에서 자양댐방면 약 1㎞지점
19사리보건진료소영천시 임고면 운주로 915054-330-6795면소재지에서 수성방면 약 4㎞지점
20파계보건진료소영천시 고경면 용담로 1807054-330-6796면소재지에서 포항방면 약 5㎞지점에서 우측(황수탕)으로 약 2㎞지점
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