Overview

Dataset statistics

Number of variables6
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory54.7 B

Variable types

Text4
Categorical1
DateTime1

Dataset

Description경상북도 청소년상담복지센터의 상담실명, 건물명, 주소, 상담인력, 설립일자, 전화번호 현황등에 항목을 제공합니다.
Author경상북도
URLhttps://www.data.go.kr/data/15044773/fileData.do

Alerts

상담실명 has unique valuesUnique
주소 has unique valuesUnique
설립일자 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:02:40.346057
Analysis finished2023-12-12 03:02:40.926188
Duration0.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상담실명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T12:02:41.144456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.956522
Min length11

Characters and Unicode

Total characters275
Distinct characters41
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

Unique23 ?
Unique (%)100.0%

Sample

1st row도 청소년상담복지센터
2nd row포항시청소년상담복지센터
3rd row경주시청소년상담복지센터
4th row김천시청소년상담복지센터
5th row안동시청소년상담복지센터
ValueCountFrequency (%)
도 1
 
4.2%
청소년상담복지센터 1
 
4.2%
봉화군청소년상담복지센터 1
 
4.2%
예천군청소년상담복지센터 1
 
4.2%
칠곡군청소년상담복지센터 1
 
4.2%
성주군청소년상담복지센터 1
 
4.2%
고령군청소년상담복지센터 1
 
4.2%
청도군청소년상담복지센터 1
 
4.2%
영덕군청소년상담복지센터 1
 
4.2%
영양군청소년상담복지센터 1
 
4.2%
Other values (14) 14
58.3%
2023-12-12T12:02:41.642902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
청 25
9.1%
상 24
8.7%
소 23
8.4%
년 23
8.4%
담 23
8.4%
복 23
8.4%
지 23
8.4%
센 23
8.4%
터 23
8.4%
군 13
 
4.7%
Other values (31) 52
18.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 274
99.6%
Space Separator 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 25
9.1%
상 24
8.8%
소 23
8.4%
년 23
8.4%
담 23
8.4%
복 23
8.4%
지 23
8.4%
센 23
8.4%
터 23
8.4%
군 13
 
4.7%
Other values (30) 51
18.6%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 274
99.6%
Common 1
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 25
9.1%
상 24
8.8%
소 23
8.4%
년 23
8.4%
담 23
8.4%
복 23
8.4%
지 23
8.4%
센 23
8.4%
터 23
8.4%
군 13
 
4.7%
Other values (30) 51
18.6%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 274
99.6%
ASCII 1
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
청 25
9.1%
상 24
8.8%
소 23
8.4%
년 23
8.4%
담 23
8.4%
복 23
8.4%
지 23
8.4%
센 23
8.4%
터 23
8.4%
군 13
 
4.7%
Other values (30) 51
18.6%
ASCII
ValueCountFrequency (%)
1
100.0%

건물명
Text

Distinct21
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T12:02:41.950189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length9.8695652
Min length7

Characters and Unicode

Total characters227
Distinct characters59
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)82.6%

Sample

1st row경상북도청소년진흥원
2nd row포항청소년수련관
3rd row경주청소년수련관
4th row김천시청소년문화의 집 3층
5th row안동시청소년수련관
ValueCountFrequency (%)
2층 3
 
10.0%
청소년수련관 2
 
6.7%
청소년상담복지센터 2
 
6.7%
3층 2
 
6.7%
청사 1
 
3.3%
경상북도청소년진흥원 1
 
3.3%
군위국민체육센터 1
 
3.3%
봉화군청소년상담복지센터 1
 
3.3%
예천청소년수련관 1
 
3.3%
칠곡군청소년상담복지센터 1
 
3.3%
Other values (15) 15
50.0%
2023-12-12T12:02:42.454237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
청 22
 
9.7%
소 21
 
9.3%
년 20
 
8.8%
수 10
 
4.4%
련 10
 
4.4%
관 10
 
4.4%
상 8
 
3.5%
시 7
 
3.1%
터 7
 
3.1%
센 7
 
3.1%
Other values (49) 105
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 213
93.8%
Space Separator 7
 
3.1%
Decimal Number 5
 
2.2%
Close Punctuation 1
 
0.4%
Open Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 22
 
10.3%
소 21
 
9.9%
년 20
 
9.4%
수 10
 
4.7%
련 10
 
4.7%
관 10
 
4.7%
상 8
 
3.8%
시 7
 
3.3%
터 7
 
3.3%
센 7
 
3.3%
Other values (44) 91
42.7%
Decimal Number
ValueCountFrequency (%)
2 3
60.0%
3 2
40.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 213
93.8%
Common 14
 
6.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 22
 
10.3%
소 21
 
9.9%
년 20
 
9.4%
수 10
 
4.7%
련 10
 
4.7%
관 10
 
4.7%
상 8
 
3.8%
시 7
 
3.3%
터 7
 
3.3%
센 7
 
3.3%
Other values (44) 91
42.7%
Common
ValueCountFrequency (%)
7
50.0%
2 3
21.4%
3 2
 
14.3%
) 1
 
7.1%
( 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 213
93.8%
ASCII 14
 
6.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
청 22
 
10.3%
소 21
 
9.9%
년 20
 
9.4%
수 10
 
4.7%
련 10
 
4.7%
관 10
 
4.7%
상 8
 
3.8%
시 7
 
3.3%
터 7
 
3.3%
센 7
 
3.3%
Other values (44) 91
42.7%
ASCII
ValueCountFrequency (%)
7
50.0%
2 3
21.4%
3 2
 
14.3%
) 1
 
7.1%
( 1
 
7.1%

주소
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T12:02:42.793103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20
Mean length18.521739
Min length14

Characters and Unicode

Total characters426
Distinct characters80
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

Unique23 ?
Unique (%)100.0%

Sample

1st row경상북도 안동시 축제장길 20
2nd row경상북도 포항시 북구 삼호로533
3rd row경상북도 경주시 알천북로 131
4th row경상북도 김천시 다삼로 3
5th row경상북도 안동시 축제장길 42
ValueCountFrequency (%)
경상북도 23
 
22.3%
92 2
 
1.9%
안동시 2
 
1.9%
성주읍 2
 
1.9%
축제장길 2
 
1.9%
울진읍 1
 
1.0%
강변길 1
 
1.0%
고령군 1
 
1.0%
1846 1
 
1.0%
청려로 1
 
1.0%
Other values (67) 67
65.0%
2023-12-12T12:02:43.322455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
81
19.0%
경 26
 
6.1%
상 26
 
6.1%
북 26
 
6.1%
도 25
 
5.9%
로 18
 
4.2%
군 14
 
3.3%
읍 13
 
3.1%
3 13
 
3.1%
시 11
 
2.6%
Other values (70) 173
40.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 277
65.0%
Space Separator 81
 
19.0%
Decimal Number 65
 
15.3%
Dash Punctuation 3
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 26
 
9.4%
상 26
 
9.4%
북 26
 
9.4%
도 25
 
9.0%
로 18
 
6.5%
군 14
 
5.1%
읍 13
 
4.7%
시 11
 
4.0%
길 8
 
2.9%
주 6
 
2.2%
Other values (58) 104
37.5%
Decimal Number
ValueCountFrequency (%)
3 13
20.0%
2 11
16.9%
4 9
13.8%
1 9
13.8%
0 5
 
7.7%
5 5
 
7.7%
8 4
 
6.2%
7 3
 
4.6%
6 3
 
4.6%
9 3
 
4.6%
Space Separator
ValueCountFrequency (%)
81
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 277
65.0%
Common 149
35.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 26
 
9.4%
상 26
 
9.4%
북 26
 
9.4%
도 25
 
9.0%
로 18
 
6.5%
군 14
 
5.1%
읍 13
 
4.7%
시 11
 
4.0%
길 8
 
2.9%
주 6
 
2.2%
Other values (58) 104
37.5%
Common
ValueCountFrequency (%)
81
54.4%
3 13
 
8.7%
2 11
 
7.4%
4 9
 
6.0%
1 9
 
6.0%
0 5
 
3.4%
5 5
 
3.4%
8 4
 
2.7%
- 3
 
2.0%
7 3
 
2.0%
Other values (2) 6
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 277
65.0%
ASCII 149
35.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
81
54.4%
3 13
 
8.7%
2 11
 
7.4%
4 9
 
6.0%
1 9
 
6.0%
0 5
 
3.4%
5 5
 
3.4%
8 4
 
2.7%
- 3
 
2.0%
7 3
 
2.0%
Other values (2) 6
 
4.0%
Hangul
ValueCountFrequency (%)
경 26
 
9.4%
상 26
 
9.4%
북 26
 
9.4%
도 25
 
9.0%
로 18
 
6.5%
군 14
 
5.1%
읍 13
 
4.7%
시 11
 
4.0%
길 8
 
2.9%
주 6
 
2.2%
Other values (58) 104
37.5%

상담인력(명)
Categorical

Distinct5
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
5
16 
4
3 
6
2 
17
 
1
3
 
1

Length

Max length2
Median length1
Mean length1.0434783
Min length1

Unique

Unique2 ?
Unique (%)8.7%

Sample

1st row17
2nd row5
3rd row4
4th row5
5th row5

Common Values

ValueCountFrequency (%)
5 16
69.6%
4 3
 
13.0%
6 2
 
8.7%
17 1
 
4.3%
3 1
 
4.3%

Length

2023-12-12T12:02:43.535092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:02:43.660909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 16
69.6%
4 3
 
13.0%
6 2
 
8.7%
17 1
 
4.3%
3 1
 
4.3%

설립일자
Date

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum1994-09-01 00:00:00
Maximum2021-03-01 00:00:00
2023-12-12T12:02:43.820185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:02:43.966403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

전화번호
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T12:02:44.212866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters276
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

Unique23 ?
Unique (%)100.0%

Sample

1st row054-850-1000
2nd row054-252-0020
3rd row054-742-1388
4th row054-431-2009
5th row054-841-7933
ValueCountFrequency (%)
054-850-1000 1
 
4.3%
054-834-7933 1
 
4.3%
054-673-1241 1
 
4.3%
054-654-9901 1
 
4.3%
054-971-0418 1
 
4.3%
054-931-1398 1
 
4.3%
054-956-1383 1
 
4.3%
054-373-1610 1
 
4.3%
054-730-7370 1
 
4.3%
054-863-1388 1
 
4.3%
Other values (13) 13
56.5%
2023-12-12T12:02:44.620276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 51
18.5%
- 46
16.7%
4 35
12.7%
5 33
12.0%
3 28
10.1%
1 23
8.3%
8 19
 
6.9%
7 13
 
4.7%
2 10
 
3.6%
9 10
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 230
83.3%
Dash Punctuation 46
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 51
22.2%
4 35
15.2%
5 33
14.3%
3 28
12.2%
1 23
10.0%
8 19
 
8.3%
7 13
 
5.7%
2 10
 
4.3%
9 10
 
4.3%
6 8
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 276
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 51
18.5%
- 46
16.7%
4 35
12.7%
5 33
12.0%
3 28
10.1%
1 23
8.3%
8 19
 
6.9%
7 13
 
4.7%
2 10
 
3.6%
9 10
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 276
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 51
18.5%
- 46
16.7%
4 35
12.7%
5 33
12.0%
3 28
10.1%
1 23
8.3%
8 19
 
6.9%
7 13
 
4.7%
2 10
 
3.6%
9 10
 
3.6%

Correlations

2023-12-12T12:02:44.745113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상담실명건물명주소상담인력(명)설립일자전화번호
상담실명1.0001.0001.0001.0001.0001.000
건물명1.0001.0001.0000.7531.0001.000
주소1.0001.0001.0001.0001.0001.000
상담인력(명)1.0000.7531.0001.0001.0001.000
설립일자1.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000

Missing values

2023-12-12T12:02:40.720737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:02:40.858037image/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

상담실명건물명주소상담인력(명)설립일자전화번호
0도 청소년상담복지센터경상북도청소년진흥원경상북도 안동시 축제장길 20171994-09-01054-850-1000
1포항시청소년상담복지센터포항청소년수련관경상북도 포항시 북구 삼호로53351998-03-14054-252-0020
2경주시청소년상담복지센터경주청소년수련관경상북도 경주시 알천북로 13141995-01-01054-742-1388
3김천시청소년상담복지센터김천시청소년문화의 집 3층경상북도 김천시 다삼로 352000-03-07054-431-2009
4안동시청소년상담복지센터안동시청소년수련관경상북도 안동시 축제장길 4252012-11-01054-841-7933
5구미시청소년상담복지센터구미시청소년상담복지센터경상북도 구미시 중앙로11길 1362000-03-08054-472-2000
6영주시청소년상담복지센터영주시청소년문화의집 2층경상북도 영주시 광복로 6351999-10-01054-634-1318
7영천시청소년상담복지센터영천시청소년수련관경상북도 영천시 운동장로 9251999-12-20054-338-2000
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