Overview

Dataset statistics

Number of variables5
Number of observations45
Missing cells2
Missing cells (%)0.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory42.9 B

Variable types

Categorical1
Text3
DateTime1

Dataset

Description경상북도 영주시 관내 다중이용시설 현황(시설구분, 시설명, 주소, 전화번호 등)
Author경상북도 영주시
URLhttps://www.data.go.kr/data/15006443/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
전화번호 has 2 (4.4%) missing valuesMissing

Reproduction

Analysis started2023-12-12 00:25:29.302251
Analysis finished2023-12-12 00:25:29.700482
Duration0.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설구분
Categorical

Distinct9
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
어린이집
17 
의료기관
10 
노인요양시설
8 
대규모점포
2 
실내주차장
2 
Other values (4)
6 

Length

Max length6
Median length4
Mean length4.5333333
Min length3

Unique

Unique2 ?
Unique (%)4.4%

Sample

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

Common Values

ValueCountFrequency (%)
어린이집 17
37.8%
의료기관 10
22.2%
노인요양시설 8
17.8%
대규모점포 2
 
4.4%
실내주차장 2
 
4.4%
영화상영관 2
 
4.4%
PC영업시설 2
 
4.4%
박물관 1
 
2.2%
도서관 1
 
2.2%

Length

2023-12-12T09:25:29.769178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:25:29.903412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
어린이집 17
37.8%
의료기관 10
22.2%
노인요양시설 8
17.8%
대규모점포 2
 
4.4%
실내주차장 2
 
4.4%
영화상영관 2
 
4.4%
pc영업시설 2
 
4.4%
박물관 1
 
2.2%
도서관 1
 
2.2%

시설명
Text

Distinct43
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size492.0 B
2023-12-12T09:25:30.121456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length7.8444444
Min length4

Characters and Unicode

Total characters353
Distinct characters111
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)91.1%

Sample

1st row성누가병원
2nd row새희망병원
3rd row영주기독병원
4th row(의)영풍의료재단 풍기성심요양병원
5th row영주가톨릭병원
ValueCountFrequency (%)
어린이집 3
 
5.3%
영주농협파머스마켓 2
 
3.5%
홈플러스영주점 2
 
3.5%
영주국제어린이집 1
 
1.8%
영주관 1
 
1.8%
사)장수마을 1
 
1.8%
인애가 1
 
1.8%
하정 1
 
1.8%
남산어린이집 1
 
1.8%
사랑어린이집 1
 
1.8%
Other values (43) 43
75.4%
2023-12-12T09:25:30.472589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 20
 
5.7%
집 18
 
5.1%
영 18
 
5.1%
린 17
 
4.8%
어 17
 
4.8%
원 16
 
4.5%
주 16
 
4.5%
12
 
3.4%
병 10
 
2.8%
요 7
 
2.0%
Other values (101) 202
57.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 327
92.6%
Space Separator 12
 
3.4%
Close Punctuation 5
 
1.4%
Open Punctuation 5
 
1.4%
Uppercase Letter 4
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 20
 
6.1%
집 18
 
5.5%
영 18
 
5.5%
린 17
 
5.2%
어 17
 
5.2%
원 16
 
4.9%
주 16
 
4.9%
병 10
 
3.1%
요 7
 
2.1%
의 7
 
2.1%
Other values (96) 181
55.4%
Uppercase Letter
ValueCountFrequency (%)
C 2
50.0%
P 2
50.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 327
92.6%
Common 22
 
6.2%
Latin 4
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 20
 
6.1%
집 18
 
5.5%
영 18
 
5.5%
린 17
 
5.2%
어 17
 
5.2%
원 16
 
4.9%
주 16
 
4.9%
병 10
 
3.1%
요 7
 
2.1%
의 7
 
2.1%
Other values (96) 181
55.4%
Common
ValueCountFrequency (%)
12
54.5%
) 5
22.7%
( 5
22.7%
Latin
ValueCountFrequency (%)
C 2
50.0%
P 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 327
92.6%
ASCII 26
 
7.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 20
 
6.1%
집 18
 
5.5%
영 18
 
5.5%
린 17
 
5.2%
어 17
 
5.2%
원 16
 
4.9%
주 16
 
4.9%
병 10
 
3.1%
요 7
 
2.1%
의 7
 
2.1%
Other values (96) 181
55.4%
ASCII
ValueCountFrequency (%)
12
46.2%
) 5
19.2%
( 5
19.2%
C 2
 
7.7%
P 2
 
7.7%

소재지
Text

Distinct42
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size492.0 B
2023-12-12T09:25:30.720525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length23
Min length19

Characters and Unicode

Total characters1035
Distinct characters72
Distinct categories6 ?
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 (%)86.7%

Sample

1st row경상북도 영주시 구성로 329 (영주동)
2nd row경상북도 영주시 반지미로 275-17 (가흥동)
3rd row경상북도 영주시 구성로 380 (영주동)
4th row경상북도 영주시 풍기읍 소백로1916번길 6
5th row경상북도 영주시 번영로 176 (영주동)
ValueCountFrequency (%)
경상북도 45
20.0%
영주시 45
20.0%
가흥동 13
 
5.8%
휴천동 8
 
3.6%
영주동 6
 
2.7%
구성로 6
 
2.7%
풍기읍 4
 
1.8%
반지미로 4
 
1.8%
안정면 3
 
1.3%
조암동 3
 
1.3%
Other values (76) 88
39.1%
2023-12-12T09:25:31.092560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
180
17.4%
주 54
 
5.2%
영 53
 
5.1%
시 46
 
4.4%
경 45
 
4.3%
북 45
 
4.3%
도 45
 
4.3%
상 45
 
4.3%
로 44
 
4.3%
동 37
 
3.6%
Other values (62) 441
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 616
59.5%
Space Separator 180
 
17.4%
Decimal Number 162
 
15.7%
Open Punctuation 34
 
3.3%
Close Punctuation 34
 
3.3%
Dash Punctuation 9
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 54
 
8.8%
영 53
 
8.6%
시 46
 
7.5%
경 45
 
7.3%
북 45
 
7.3%
도 45
 
7.3%
상 45
 
7.3%
로 44
 
7.1%
동 37
 
6.0%
흥 15
 
2.4%
Other values (48) 187
30.4%
Decimal Number
ValueCountFrequency (%)
2 28
17.3%
1 23
14.2%
3 19
11.7%
7 19
11.7%
5 16
9.9%
6 14
8.6%
0 13
8.0%
9 11
 
6.8%
4 11
 
6.8%
8 8
 
4.9%
Space Separator
ValueCountFrequency (%)
180
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 616
59.5%
Common 419
40.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 54
 
8.8%
영 53
 
8.6%
시 46
 
7.5%
경 45
 
7.3%
북 45
 
7.3%
도 45
 
7.3%
상 45
 
7.3%
로 44
 
7.1%
동 37
 
6.0%
흥 15
 
2.4%
Other values (48) 187
30.4%
Common
ValueCountFrequency (%)
180
43.0%
( 34
 
8.1%
) 34
 
8.1%
2 28
 
6.7%
1 23
 
5.5%
3 19
 
4.5%
7 19
 
4.5%
5 16
 
3.8%
6 14
 
3.3%
0 13
 
3.1%
Other values (4) 39
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 616
59.5%
ASCII 419
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
180
43.0%
( 34
 
8.1%
) 34
 
8.1%
2 28
 
6.7%
1 23
 
5.5%
3 19
 
4.5%
7 19
 
4.5%
5 16
 
3.8%
6 14
 
3.3%
0 13
 
3.1%
Other values (4) 39
 
9.3%
Hangul
ValueCountFrequency (%)
주 54
 
8.8%
영 53
 
8.6%
시 46
 
7.5%
경 45
 
7.3%
북 45
 
7.3%
도 45
 
7.3%
상 45
 
7.3%
로 44
 
7.1%
동 37
 
6.0%
흥 15
 
2.4%
Other values (48) 187
30.4%

전화번호
Text

MISSING 

Distinct41
Distinct (%)95.3%
Missing2
Missing (%)4.4%
Memory size492.0 B
2023-12-12T09:25:31.350830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters516
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

Unique39 ?
Unique (%)90.7%

Sample

1st row054-639-9000
2nd row054-639-8800
3rd row054-635-6161
4th row054-630-2511
5th row054-639-8100
ValueCountFrequency (%)
054-630-8018 2
 
4.7%
054-639-3300 2
 
4.7%
054-636-9793 1
 
2.3%
054-631-0090 1
 
2.3%
054-637-1234 1
 
2.3%
054-634-8855 1
 
2.3%
054-635-7217 1
 
2.3%
054-638-2225 1
 
2.3%
054-632-3833 1
 
2.3%
054-635-9341 1
 
2.3%
Other values (31) 31
72.1%
2023-12-12T09:25:31.704746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 87
16.9%
- 86
16.7%
3 70
13.6%
5 66
12.8%
4 55
10.7%
6 55
10.7%
1 28
 
5.4%
8 25
 
4.8%
2 18
 
3.5%
9 15
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 430
83.3%
Dash Punctuation 86
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 87
20.2%
3 70
16.3%
5 66
15.3%
4 55
12.8%
6 55
12.8%
1 28
 
6.5%
8 25
 
5.8%
2 18
 
4.2%
9 15
 
3.5%
7 11
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 86
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 516
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 87
16.9%
- 86
16.7%
3 70
13.6%
5 66
12.8%
4 55
10.7%
6 55
10.7%
1 28
 
5.4%
8 25
 
4.8%
2 18
 
3.5%
9 15
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 516
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 87
16.9%
- 86
16.7%
3 70
13.6%
5 66
12.8%
4 55
10.7%
6 55
10.7%
1 28
 
5.4%
8 25
 
4.8%
2 18
 
3.5%
9 15
 
2.9%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
Minimum2018-12-13 00:00:00
Maximum2018-12-13 00:00:00
2023-12-12T09:25:31.818998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:25:31.910085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-12T09:25:31.998297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설구분시설명소재지전화번호
시설구분1.0000.0000.0000.000
시설명0.0001.0001.0001.000
소재지0.0001.0001.0001.000
전화번호0.0001.0001.0001.000

Missing values

2023-12-12T09:25:29.570740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:25:29.662667image/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

시설구분시설명소재지전화번호데이터기준일자
0의료기관성누가병원경상북도 영주시 구성로 329 (영주동)054-639-90002018-12-13
1의료기관새희망병원경상북도 영주시 반지미로 275-17 (가흥동)054-639-88002018-12-13
2의료기관영주기독병원경상북도 영주시 구성로 380 (영주동)054-635-61612018-12-13
3의료기관(의)영풍의료재단 풍기성심요양병원경상북도 영주시 풍기읍 소백로1916번길 6054-630-25112018-12-13
4의료기관영주가톨릭병원경상북도 영주시 번영로 176 (영주동)054-639-81002018-12-13
5의료기관영주시립노인요양병원경상북도 영주시 안정면 장안로 697054-631-15002018-12-13
6의료기관영주삼봉정신병원경상북도 영주시 꽃동산로 43 (가흥동)054-634-76002018-12-13
7의료기관(의)기호의료재단 청하요양병원경상북도 영주시 신재로24번길 91 (가흥동)054-630-99002018-12-13
8의료기관(의)영주의료재단 명품요양병원경상북도 영주시 반지미로 265 (가흥동)054-639-18002018-12-13
9의료기관영주자인병원경상북도 영주시 대동로31번길 9 (가흥동)054-633-11312018-12-13
시설구분시설명소재지전화번호데이터기준일자
35노인요양시설(사)장수마을 인애가경상북도 영주시 안정면 장안로 709-25054-633-63002018-12-13
36노인요양시설새희망실버힐즈경상북도 영주시 반지미로 275-19 (가흥동)054-639-88882018-12-13
37노인요양시설영주노인전문요양원경상북도 영주시 반지미로 236-50 (가흥동)054-635-55582018-12-13
38노인요양시설(사) 장수마을 이당원지점경상북도 영주시 안정면 장안로 709-25054-631-60002018-12-13
39노인요양시설소망의집경상북도 영주시 조와로277번길 234 (조와동)054-636-97932018-12-13
40노인요양시설행복한요양원경상북도 영주시 봉현면 노좌로 28054-633-11332018-12-13
41노인요양시설풍기노인전문요양원경상북도 영주시 풍기읍 신재로 1054054-637-12342018-12-13
42PC영업시설아이센스PC방경상북도 영주시 구성로 300 (휴천동)<NA>2018-12-13
43PC영업시설갤러리 PC경상북도 영주시 대학로12번길 4 (휴천동)<NA>2018-12-13
44도서관영주선비도서관경상북도 영주시 영주로60번길 38 (가흥동)054-630-38022018-12-13