Overview

Dataset statistics

Number of variables5
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.0 KiB
Average record size in memory45.7 B

Variable types

Text4
Categorical1

Dataset

Description인천광역시 서구에 위치한 권역별일자리상담실운영현황에 관한 데이터셋입니다. 인천광역시 서구에 위치한 권역별일자리상담실운영현황의 설치장소, 소재지도로, 전화번호에 관한 정보를 포함하고 있습니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15090710&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
설치장소 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
소재지지번주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-04-18 03:55:50.202790
Analysis finished2024-04-18 03:55:52.017294
Duration1.81 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

설치장소
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-04-18T12:55:52.121380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.869565
Min length10

Characters and Unicode

Total characters250
Distinct characters42
Distinct categories3 ?
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 row가정1동 행정복지센터
2nd row가정2동 행정복지센터
3rd row가정3동 행정복지센터
4th row가좌1동 행정복지센터
5th row가좌2동 행정복지센터
ValueCountFrequency (%)
행정복지센터 22
48.9%
가정1동 1
 
2.2%
청라2동 1
 
2.2%
청라1동 1
 
2.2%
원당동 1
 
2.2%
오류왕길동행정복지센터 1
 
2.2%
연희동 1
 
2.2%
아라동 1
 
2.2%
신현원창동 1
 
2.2%
석남3동 1
 
2.2%
Other values (14) 14
31.1%
2024-04-18T12:55:52.425382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
정 26
10.4%
동 23
9.2%
행 23
9.2%
복 23
9.2%
지 23
9.2%
센 23
9.2%
터 23
9.2%
22
8.8%
가 7
 
2.8%
1 4
 
1.6%
Other values (32) 53
21.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 215
86.0%
Space Separator 22
 
8.8%
Decimal Number 13
 
5.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 26
12.1%
동 23
10.7%
행 23
10.7%
복 23
10.7%
지 23
10.7%
센 23
10.7%
터 23
10.7%
가 7
 
3.3%
좌 4
 
1.9%
라 4
 
1.9%
Other values (27) 36
16.7%
Decimal Number
ValueCountFrequency (%)
1 4
30.8%
2 4
30.8%
3 4
30.8%
4 1
 
7.7%
Space Separator
ValueCountFrequency (%)
22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 215
86.0%
Common 35
 
14.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 26
12.1%
동 23
10.7%
행 23
10.7%
복 23
10.7%
지 23
10.7%
센 23
10.7%
터 23
10.7%
가 7
 
3.3%
좌 4
 
1.9%
라 4
 
1.9%
Other values (27) 36
16.7%
Common
ValueCountFrequency (%)
22
62.9%
1 4
 
11.4%
2 4
 
11.4%
3 4
 
11.4%
4 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 215
86.0%
ASCII 35
 
14.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
정 26
12.1%
동 23
10.7%
행 23
10.7%
복 23
10.7%
지 23
10.7%
센 23
10.7%
터 23
10.7%
가 7
 
3.3%
좌 4
 
1.9%
라 4
 
1.9%
Other values (27) 36
16.7%
ASCII
ValueCountFrequency (%)
22
62.9%
1 4
 
11.4%
2 4
 
11.4%
3 4
 
11.4%
4 1
 
2.9%

소재지도로명주소
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-04-18T12:55:52.616279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length18.347826
Min length15

Characters and Unicode

Total characters422
Distinct characters61
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

Unique23 ?
Unique (%)100.0%

Sample

1st row인천광역시 서구 염곡로464번길 11
2nd row인천광역시 서구 봉오대로267번길 10
3rd row인천광역시 서구 서달로179번길 12-16
4th row인천광역시 서구 가정로112번길 10
5th row인천광역시 서구 장고개로309번길 4
ValueCountFrequency (%)
인천광역시 23
25.0%
서구 23
25.0%
14 3
 
3.3%
10 2
 
2.2%
4 2
 
2.2%
서달로 1
 
1.1%
107 1
 
1.1%
가정로335번길 1
 
1.1%
3 1
 
1.1%
바리미로 1
 
1.1%
Other values (34) 34
37.0%
2024-04-18T12:55:52.944127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
69
16.4%
서 25
 
5.9%
인 23
 
5.5%
로 23
 
5.5%
구 23
 
5.5%
천 23
 
5.5%
시 23
 
5.5%
역 23
 
5.5%
광 23
 
5.5%
1 21
 
5.0%
Other values (51) 146
34.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 266
63.0%
Decimal Number 84
 
19.9%
Space Separator 69
 
16.4%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 25
9.4%
인 23
8.6%
로 23
8.6%
구 23
8.6%
천 23
8.6%
시 23
8.6%
역 23
8.6%
광 23
8.6%
길 13
 
4.9%
번 11
 
4.1%
Other values (37) 56
21.1%
Decimal Number
ValueCountFrequency (%)
1 21
25.0%
4 12
14.3%
2 11
13.1%
9 7
 
8.3%
0 7
 
8.3%
6 6
 
7.1%
7 6
 
7.1%
8 5
 
6.0%
3 5
 
6.0%
5 4
 
4.8%
Space Separator
ValueCountFrequency (%)
69
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 266
63.0%
Common 156
37.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 25
9.4%
인 23
8.6%
로 23
8.6%
구 23
8.6%
천 23
8.6%
시 23
8.6%
역 23
8.6%
광 23
8.6%
길 13
 
4.9%
번 11
 
4.1%
Other values (37) 56
21.1%
Common
ValueCountFrequency (%)
69
44.2%
1 21
 
13.5%
4 12
 
7.7%
2 11
 
7.1%
9 7
 
4.5%
0 7
 
4.5%
6 6
 
3.8%
7 6
 
3.8%
8 5
 
3.2%
3 5
 
3.2%
Other values (4) 7
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 266
63.0%
ASCII 156
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
69
44.2%
1 21
 
13.5%
4 12
 
7.7%
2 11
 
7.1%
9 7
 
4.5%
0 7
 
4.5%
6 6
 
3.8%
7 6
 
3.8%
8 5
 
3.2%
3 5
 
3.2%
Other values (4) 7
 
4.5%
Hangul
ValueCountFrequency (%)
서 25
9.4%
인 23
8.6%
로 23
8.6%
구 23
8.6%
천 23
8.6%
시 23
8.6%
역 23
8.6%
광 23
8.6%
길 13
 
4.9%
번 11
 
4.1%
Other values (37) 56
21.1%

소재지지번주소
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-04-18T12:55:53.125922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length18.043478
Min length15

Characters and Unicode

Total characters415
Distinct characters42
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 row인천광역시 서구 가정동 619-6
2nd row인천광역시 서구 가정동 284-338
3rd row인천광역시 서구 가정동 565-4
4th row인천광역시 서구 가좌동 145-19
5th row인천광역시 서구 가좌동 30-105
ValueCountFrequency (%)
인천광역시 23
25.0%
서구 23
25.0%
가좌동 4
 
4.3%
청라동 3
 
3.3%
석남동 3
 
3.3%
가정동 3
 
3.3%
마전동 2
 
2.2%
원당동 2
 
2.2%
165-5 1
 
1.1%
155-14 1
 
1.1%
Other values (27) 27
29.3%
2024-04-18T12:55:53.422892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
69
16.6%
인 23
 
5.5%
구 23
 
5.5%
서 23
 
5.5%
천 23
 
5.5%
시 23
 
5.5%
역 23
 
5.5%
광 23
 
5.5%
동 22
 
5.3%
- 19
 
4.6%
Other values (32) 144
34.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 230
55.4%
Decimal Number 97
23.4%
Space Separator 69
 
16.6%
Dash Punctuation 19
 
4.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 23
10.0%
구 23
10.0%
서 23
10.0%
천 23
10.0%
시 23
10.0%
역 23
10.0%
광 23
10.0%
동 22
9.6%
가 7
 
3.0%
좌 4
 
1.7%
Other values (20) 36
15.7%
Decimal Number
ValueCountFrequency (%)
1 17
17.5%
3 14
14.4%
5 13
13.4%
4 11
11.3%
2 9
9.3%
8 9
9.3%
6 8
8.2%
0 6
 
6.2%
9 5
 
5.2%
7 5
 
5.2%
Space Separator
ValueCountFrequency (%)
69
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 230
55.4%
Common 185
44.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 23
10.0%
구 23
10.0%
서 23
10.0%
천 23
10.0%
시 23
10.0%
역 23
10.0%
광 23
10.0%
동 22
9.6%
가 7
 
3.0%
좌 4
 
1.7%
Other values (20) 36
15.7%
Common
ValueCountFrequency (%)
69
37.3%
- 19
 
10.3%
1 17
 
9.2%
3 14
 
7.6%
5 13
 
7.0%
4 11
 
5.9%
2 9
 
4.9%
8 9
 
4.9%
6 8
 
4.3%
0 6
 
3.2%
Other values (2) 10
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 230
55.4%
ASCII 185
44.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
69
37.3%
- 19
 
10.3%
1 17
 
9.2%
3 14
 
7.6%
5 13
 
7.0%
4 11
 
5.9%
2 9
 
4.9%
8 9
 
4.9%
6 8
 
4.3%
0 6
 
3.2%
Other values (2) 10
 
5.4%
Hangul
ValueCountFrequency (%)
인 23
10.0%
구 23
10.0%
서 23
10.0%
천 23
10.0%
시 23
10.0%
역 23
10.0%
광 23
10.0%
동 22
9.6%
가 7
 
3.0%
좌 4
 
1.7%
Other values (20) 36
15.7%

전화번호
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-04-18T12:55:53.599607image/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 row032-718-3720
2nd row032-718-3750
3rd row032-718-3790
4th row032-560-3186
5th row032-560-3306
ValueCountFrequency (%)
032-718-3720 1
 
4.3%
032-718-3880 1
 
4.3%
032-560-3289 1
 
4.3%
032-560-3449 1
 
4.3%
032-718-5360 1
 
4.3%
032-560-3370 1
 
4.3%
032-718-3560 1
 
4.3%
032-718-5510 1
 
4.3%
032-560-3110 1
 
4.3%
032-718-3960 1
 
4.3%
Other values (13) 13
56.5%
2024-04-18T12:55:53.896836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 52
18.8%
- 46
16.7%
3 45
16.3%
2 30
10.9%
7 20
 
7.2%
8 20
 
7.2%
5 19
 
6.9%
1 18
 
6.5%
6 17
 
6.2%
9 5
 
1.8%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 52
22.6%
3 45
19.6%
2 30
13.0%
7 20
 
8.7%
8 20
 
8.7%
5 19
 
8.3%
1 18
 
7.8%
6 17
 
7.4%
9 5
 
2.2%
4 4
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 276
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 52
18.8%
- 46
16.7%
3 45
16.3%
2 30
10.9%
7 20
 
7.2%
8 20
 
7.2%
5 19
 
6.9%
1 18
 
6.5%
6 17
 
6.2%
9 5
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 276
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 52
18.8%
- 46
16.7%
3 45
16.3%
2 30
10.9%
7 20
 
7.2%
8 20
 
7.2%
5 19
 
6.9%
1 18
 
6.5%
6 17
 
6.2%
9 5
 
1.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
2021-09-01
23 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-09-01
2nd row2021-09-01
3rd row2021-09-01
4th row2021-09-01
5th row2021-09-01

Common Values

ValueCountFrequency (%)
2021-09-01 23
100.0%

Length

2024-04-18T12:55:54.018888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:55:54.100832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-09-01 23
100.0%

Correlations

2024-04-18T12:55:54.151117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치장소소재지도로명주소소재지지번주소전화번호
설치장소1.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.000
소재지지번주소1.0001.0001.0001.000
전화번호1.0001.0001.0001.000

Missing values

2024-04-18T12:55:51.979434image/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

설치장소소재지도로명주소소재지지번주소전화번호데이터기준일자
0가정1동 행정복지센터인천광역시 서구 염곡로464번길 11인천광역시 서구 가정동 619-6032-718-37202021-09-01
1가정2동 행정복지센터인천광역시 서구 봉오대로267번길 10인천광역시 서구 가정동 284-338032-718-37502021-09-01
2가정3동 행정복지센터인천광역시 서구 서달로179번길 12-16인천광역시 서구 가정동 565-4032-718-37902021-09-01
3가좌1동 행정복지센터인천광역시 서구 가정로112번길 10인천광역시 서구 가좌동 145-19032-560-31862021-09-01
4가좌2동 행정복지센터인천광역시 서구 장고개로309번길 4인천광역시 서구 가좌동 30-105032-560-33062021-09-01
5가좌3동 행정복지센터인천광역시 서구 원적로57번길 4인천광역시 서구 가좌동 212-13032-718-52002021-09-01
6가좌4동 행정복지센터인천광역시 서구 장고개로280번길 14인천광역시 서구 가좌동 335-2032-718-52402021-09-01
7검단동 행정복지센터인천광역시 서구 검단로529번길 14인천광역시 서구 마전동 927-4032-560-32672021-09-01
8검암경서동 행정복지센터인천광역시 서구 승학로 480인천광역시 서구 검암동 606-8032-560-30062021-09-01
9당하동 행정복지센터인천광역시 서구 청마로167번길 19인천광역시 서구 당하동 1097-4032-560-33572021-09-01
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