Overview

Dataset statistics

Number of variables4
Number of observations31
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory36.3 B

Variable types

Text3
Categorical1

Dataset

Description긴급복지담당부서및연락처 현황
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=Y4D52UBYUT3HC7GTDSY119442446&infSeq=1

Alerts

담당부서명 is highly imbalanced (53.2%)Imbalance
시군명 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:12:21.450122
Analysis finished2023-12-10 23:12:21.713461
Duration0.26 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T08:12:21.840752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0967742
Min length3

Characters and Unicode

Total characters96
Distinct characters38
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

Unique31 ?
Unique (%)100.0%

Sample

1st row가평군
2nd row고양시
3rd row과천시
4th row광명시
5th row광주시
ValueCountFrequency (%)
가평군 1
 
3.2%
안양시 1
 
3.2%
하남시 1
 
3.2%
포천시 1
 
3.2%
평택시 1
 
3.2%
파주시 1
 
3.2%
이천시 1
 
3.2%
의정부시 1
 
3.2%
의왕시 1
 
3.2%
용인시 1
 
3.2%
Other values (21) 21
67.7%
2023-12-11T08:12:22.129391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 29
30.2%
천 6
 
6.2%
양 5
 
5.2%
주 5
 
5.2%
군 4
 
4.2%
성 3
 
3.1%
포 3
 
3.1%
안 3
 
3.1%
평 3
 
3.1%
남 3
 
3.1%
Other values (28) 32
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 96
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 29
30.2%
천 6
 
6.2%
양 5
 
5.2%
주 5
 
5.2%
군 4
 
4.2%
성 3
 
3.1%
포 3
 
3.1%
안 3
 
3.1%
평 3
 
3.1%
남 3
 
3.1%
Other values (28) 32
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 96
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 29
30.2%
천 6
 
6.2%
양 5
 
5.2%
주 5
 
5.2%
군 4
 
4.2%
성 3
 
3.1%
포 3
 
3.1%
안 3
 
3.1%
평 3
 
3.1%
남 3
 
3.1%
Other values (28) 32
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 96
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 29
30.2%
천 6
 
6.2%
양 5
 
5.2%
주 5
 
5.2%
군 4
 
4.2%
성 3
 
3.1%
포 3
 
3.1%
안 3
 
3.1%
평 3
 
3.1%
남 3
 
3.1%
Other values (28) 32
33.3%

담당부서명
Categorical

IMBALANCE 

Distinct8
Distinct (%)25.8%
Missing0
Missing (%)0.0%
Memory size380.0 B
복지정책과
24 
찾아가는 복지과
 
1
아동복지과
 
1
복지과
 
1
돌봄정책과
 
1
Other values (3)
3 

Length

Max length8
Median length5
Mean length5.0322581
Min length3

Unique

Unique7 ?
Unique (%)22.6%

Sample

1st row복지정책과
2nd row찾아가는 복지과
3rd row복지정책과
4th row복지정책과
5th row아동복지과

Common Values

ValueCountFrequency (%)
복지정책과 24
77.4%
찾아가는 복지과 1
 
3.2%
아동복지과 1
 
3.2%
복지과 1
 
3.2%
돌봄정책과 1
 
3.2%
사회복지과 1
 
3.2%
복지행정과 1
 
3.2%
희망복지과 1
 
3.2%

Length

2023-12-11T08:12:22.466065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:12:22.567606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
복지정책과 24
75.0%
복지과 2
 
6.2%
찾아가는 1
 
3.1%
아동복지과 1
 
3.1%
돌봄정책과 1
 
3.1%
사회복지과 1
 
3.1%
복지행정과 1
 
3.1%
희망복지과 1
 
3.1%

담당팀명
Text

Distinct18
Distinct (%)58.1%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T08:12:22.718835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.516129
Min length5

Characters and Unicode

Total characters171
Distinct characters38
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

Unique15 ?
Unique (%)48.4%

Sample

1st row희망나눔팀
2nd row희망복지정책팀
3rd row복지정책팀
4th row사례관리지원팀
5th row복지지원팀
ValueCountFrequency (%)
희망복지팀 12
38.7%
복지정책팀 2
 
6.5%
복지자원관리팀 2
 
6.5%
무한돌봄센터팀 1
 
3.2%
희망나눔팀 1
 
3.2%
통합조사팀 1
 
3.2%
긴급복지팀 1
 
3.2%
기초생활팀 1
 
3.2%
나눔복지팀 1
 
3.2%
복지서비스팀 1
 
3.2%
Other values (8) 8
25.8%
2023-12-11T08:12:22.997238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
팀 31
18.1%
지 26
15.2%
복 23
13.5%
희 14
 
8.2%
망 14
 
8.2%
원 6
 
3.5%
자 3
 
1.8%
관 3
 
1.8%
리 3
 
1.8%
정 3
 
1.8%
Other values (28) 45
26.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 171
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
팀 31
18.1%
지 26
15.2%
복 23
13.5%
희 14
 
8.2%
망 14
 
8.2%
원 6
 
3.5%
자 3
 
1.8%
관 3
 
1.8%
리 3
 
1.8%
정 3
 
1.8%
Other values (28) 45
26.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 171
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
팀 31
18.1%
지 26
15.2%
복 23
13.5%
희 14
 
8.2%
망 14
 
8.2%
원 6
 
3.5%
자 3
 
1.8%
관 3
 
1.8%
리 3
 
1.8%
정 3
 
1.8%
Other values (28) 45
26.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 171
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
팀 31
18.1%
지 26
15.2%
복 23
13.5%
희 14
 
8.2%
망 14
 
8.2%
원 6
 
3.5%
자 3
 
1.8%
관 3
 
1.8%
리 3
 
1.8%
정 3
 
1.8%
Other values (28) 45
26.3%

전화번호
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T08:12:23.191565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.193548
Min length12

Characters and Unicode

Total characters378
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

Unique31 ?
Unique (%)100.0%

Sample

1st row031-580-2086
2nd row031-8075-3493
3rd row02-3677-2845
4th row02-2680-6514
5th row031-760-5956
ValueCountFrequency (%)
031-580-2086 1
 
3.2%
031-8045-5455 1
 
3.2%
031-790-5716 1
 
3.2%
031-538-3078 1
 
3.2%
031-8024-3073 1
 
3.2%
031-940-4552 1
 
3.2%
031-645-3530 1
 
3.2%
031-828-4143 1
 
3.2%
031-345-2423 1
 
3.2%
031-324-2204 1
 
3.2%
Other values (21) 21
67.7%
2023-12-11T08:12:23.598755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 62
16.4%
0 56
14.8%
3 52
13.8%
1 39
10.3%
2 36
9.5%
8 31
8.2%
5 30
7.9%
4 22
 
5.8%
6 19
 
5.0%
7 18
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 316
83.6%
Dash Punctuation 62
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 56
17.7%
3 52
16.5%
1 39
12.3%
2 36
11.4%
8 31
9.8%
5 30
9.5%
4 22
 
7.0%
6 19
 
6.0%
7 18
 
5.7%
9 13
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 378
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 62
16.4%
0 56
14.8%
3 52
13.8%
1 39
10.3%
2 36
9.5%
8 31
8.2%
5 30
7.9%
4 22
 
5.8%
6 19
 
5.0%
7 18
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 378
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 62
16.4%
0 56
14.8%
3 52
13.8%
1 39
10.3%
2 36
9.5%
8 31
8.2%
5 30
7.9%
4 22
 
5.8%
6 19
 
5.0%
7 18
 
4.8%

Correlations

2023-12-11T08:12:23.704155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명담당부서명담당팀명전화번호
시군명1.0001.0001.0001.000
담당부서명1.0001.0000.6191.000
담당팀명1.0000.6191.0001.000
전화번호1.0001.0001.0001.000

Missing values

2023-12-11T08:12:21.612069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:12:21.685279image/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

시군명담당부서명담당팀명전화번호
0가평군복지정책과희망나눔팀031-580-2086
1고양시찾아가는 복지과희망복지정책팀031-8075-3493
2과천시복지정책과복지정책팀02-3677-2845
3광명시복지정책과사례관리지원팀02-2680-6514
4광주시아동복지과복지지원팀031-760-5956
5구리시복지정책과희망복지팀031-550-2216
6군포시복지정책과복지자원관리팀031-390-0452
7김포시복지과희망복지팀031-980-5648
8남양주시복지정책과융합서비스팀031-590-8659
9동두천시복지정책과희망복지팀031-860-2363
시군명담당부서명담당팀명전화번호
21오산시희망복지과복지서비스팀031-8036-7422
22용인시복지정책과나눔복지팀031-324-2204
23의왕시복지정책과복지정책팀031-345-2423
24의정부시복지정책과기초생활팀031-828-4143
25이천시복지정책과희망복지팀031-645-3530
26파주시복지정책과긴급복지팀031-940-4552
27평택시복지정책과희망복지팀031-8024-3073
28포천시복지정책과희망복지팀031-538-3078
29하남시복지정책과희망복지팀031-790-5716
30화성시복지정책과복지자원지원팀031-5189-1830