Overview

Dataset statistics

Number of variables5
Number of observations21
Missing cells39
Missing cells (%)37.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1014.0 B
Average record size in memory48.3 B

Variable types

Numeric1
Text3
Unsupported1

Dataset

Description전라남도 고흥군 유료직업소개소 현황에 대한 데이터로 사업장 명칭, 사업장 소재지의 전체 주소, 사업장 전화번호 등에 대한 자료를 제공합니다.
Author전라남도 고흥군
URLhttps://www.data.go.kr/data/15090026/fileData.do

Alerts

소재지전화 has 18 (85.7%) missing valuesMissing
비고 has 21 (100.0%) missing valuesMissing
번호 has unique valuesUnique
사업장명 has unique valuesUnique
소재지전체주소 has unique valuesUnique
비고 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 01:28:16.869446
Analysis finished2023-12-12 01:28:17.345799
Duration0.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11
Minimum1
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T10:28:17.417156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median11
Q316
95-th percentile20
Maximum21
Range20
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.2048368
Coefficient of variation (CV)0.56407607
Kurtosis-1.2
Mean11
Median Absolute Deviation (MAD)5
Skewness0
Sum231
Variance38.5
MonotonicityStrictly increasing
2023-12-12T10:28:17.558444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1 1
 
4.8%
2 1
 
4.8%
21 1
 
4.8%
20 1
 
4.8%
19 1
 
4.8%
18 1
 
4.8%
17 1
 
4.8%
16 1
 
4.8%
15 1
 
4.8%
14 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
1 1
4.8%
2 1
4.8%
3 1
4.8%
4 1
4.8%
5 1
4.8%
6 1
4.8%
7 1
4.8%
8 1
4.8%
9 1
4.8%
10 1
4.8%
ValueCountFrequency (%)
21 1
4.8%
20 1
4.8%
19 1
4.8%
18 1
4.8%
17 1
4.8%
16 1
4.8%
15 1
4.8%
14 1
4.8%
13 1
4.8%
12 1
4.8%

사업장명
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-12T10:28:17.791066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length6.3333333
Min length4

Characters and Unicode

Total characters133
Distinct characters58
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

Unique21 ?
Unique (%)100.0%

Sample

1st row미래건설인력컨설팅
2nd row고흥인력
3rd row가가가우주인력
4th row흥양 인력소개 사업소
5th row도양개미인력
ValueCountFrequency (%)
미래건설인력컨설팅 1
 
4.0%
고흥녹동성실인력 1
 
4.0%
세어링 1
 
4.0%
워크 1
 
4.0%
이남식직업소개소 1
 
4.0%
산지인력 1
 
4.0%
고흥과역인력 1
 
4.0%
팔영인력 1
 
4.0%
녹동88인력 1
 
4.0%
인력 1
 
4.0%
Other values (15) 15
60.0%
2023-12-12T10:28:18.141030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18
 
13.5%
18
 
13.5%
8
 
6.0%
7
 
5.3%
6
 
4.5%
4
 
3.0%
4
 
3.0%
3
 
2.3%
3
 
2.3%
3
 
2.3%
Other values (48) 59
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 127
95.5%
Space Separator 4
 
3.0%
Decimal Number 2
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
18
 
14.2%
18
 
14.2%
8
 
6.3%
7
 
5.5%
6
 
4.7%
4
 
3.1%
3
 
2.4%
3
 
2.4%
3
 
2.4%
2
 
1.6%
Other values (46) 55
43.3%
Space Separator
ValueCountFrequency (%)
4
100.0%
Decimal Number
ValueCountFrequency (%)
8 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 127
95.5%
Common 6
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
18
 
14.2%
18
 
14.2%
8
 
6.3%
7
 
5.5%
6
 
4.7%
4
 
3.1%
3
 
2.4%
3
 
2.4%
3
 
2.4%
2
 
1.6%
Other values (46) 55
43.3%
Common
ValueCountFrequency (%)
4
66.7%
8 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 127
95.5%
ASCII 6
 
4.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
18
 
14.2%
18
 
14.2%
8
 
6.3%
7
 
5.5%
6
 
4.7%
4
 
3.1%
3
 
2.4%
3
 
2.4%
3
 
2.4%
2
 
1.6%
Other values (46) 55
43.3%
ASCII
ValueCountFrequency (%)
4
66.7%
8 2
33.3%
Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-12T10:28:18.378670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length29
Mean length25.190476
Min length21

Characters and Unicode

Total characters529
Distinct characters62
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

Unique21 ?
Unique (%)100.0%

Sample

1st row전라남도 고흥군 봉래면 예내리 491호 13통
2nd row전라남도 고흥군 도양읍 봉암리 3101번지 1통
3rd row전라남도 고흥군 고흥읍 남계리 878번지 2호
4th row전라남도 고흥군 포두면 상대리 7번지 9호
5th row전라남도 고흥군 도양읍 봉암리 3264번지
ValueCountFrequency (%)
전라남도 21
16.9%
고흥군 21
16.9%
고흥읍 7
 
5.6%
도양읍 6
 
4.8%
봉암리 6
 
4.8%
1호 3
 
2.4%
남계리 3
 
2.4%
4호 2
 
1.6%
등암리 2
 
1.6%
금산면 2
 
1.6%
Other values (48) 51
41.1%
2023-12-12T10:28:18.723535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
103
19.5%
29
 
5.5%
28
 
5.3%
27
 
5.1%
24
 
4.5%
21
 
4.0%
21
 
4.0%
21
 
4.0%
21
 
4.0%
1 20
 
3.8%
Other values (52) 214
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 331
62.6%
Space Separator 103
 
19.5%
Decimal Number 92
 
17.4%
Dash Punctuation 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
29
 
8.8%
28
 
8.5%
27
 
8.2%
24
 
7.3%
21
 
6.3%
21
 
6.3%
21
 
6.3%
21
 
6.3%
15
 
4.5%
15
 
4.5%
Other values (40) 109
32.9%
Decimal Number
ValueCountFrequency (%)
1 20
21.7%
9 11
12.0%
3 10
10.9%
2 10
10.9%
6 9
9.8%
4 8
 
8.7%
0 8
 
8.7%
8 7
 
7.6%
7 5
 
5.4%
5 4
 
4.3%
Space Separator
ValueCountFrequency (%)
103
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 331
62.6%
Common 198
37.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
29
 
8.8%
28
 
8.5%
27
 
8.2%
24
 
7.3%
21
 
6.3%
21
 
6.3%
21
 
6.3%
21
 
6.3%
15
 
4.5%
15
 
4.5%
Other values (40) 109
32.9%
Common
ValueCountFrequency (%)
103
52.0%
1 20
 
10.1%
9 11
 
5.6%
3 10
 
5.1%
2 10
 
5.1%
6 9
 
4.5%
4 8
 
4.0%
0 8
 
4.0%
8 7
 
3.5%
7 5
 
2.5%
Other values (2) 7
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 331
62.6%
ASCII 198
37.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
103
52.0%
1 20
 
10.1%
9 11
 
5.6%
3 10
 
5.1%
2 10
 
5.1%
6 9
 
4.5%
4 8
 
4.0%
0 8
 
4.0%
8 7
 
3.5%
7 5
 
2.5%
Other values (2) 7
 
3.5%
Hangul
ValueCountFrequency (%)
29
 
8.8%
28
 
8.5%
27
 
8.2%
24
 
7.3%
21
 
6.3%
21
 
6.3%
21
 
6.3%
21
 
6.3%
15
 
4.5%
15
 
4.5%
Other values (40) 109
32.9%

소재지전화
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing18
Missing (%)85.7%
Memory size300.0 B
2023-12-12T10:28:18.875705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters36
Distinct characters10
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

Unique3 ?
Unique (%)100.0%

Sample

1st row061-843-4477
2nd row061-834-9300
3rd row061-835-6333
ValueCountFrequency (%)
061-843-4477 1
33.3%
061-834-9300 1
33.3%
061-835-6333 1
33.3%
2023-12-12T10:28:19.137732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 7
19.4%
- 6
16.7%
0 5
13.9%
6 4
11.1%
4 4
11.1%
1 3
8.3%
8 3
8.3%
7 2
 
5.6%
9 1
 
2.8%
5 1
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
83.3%
Dash Punctuation 6
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 7
23.3%
0 5
16.7%
6 4
13.3%
4 4
13.3%
1 3
10.0%
8 3
10.0%
7 2
 
6.7%
9 1
 
3.3%
5 1
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 36
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 7
19.4%
- 6
16.7%
0 5
13.9%
6 4
11.1%
4 4
11.1%
1 3
8.3%
8 3
8.3%
7 2
 
5.6%
9 1
 
2.8%
5 1
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 36
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 7
19.4%
- 6
16.7%
0 5
13.9%
6 4
11.1%
4 4
11.1%
1 3
8.3%
8 3
8.3%
7 2
 
5.6%
9 1
 
2.8%
5 1
 
2.8%

비고
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

Interactions

2023-12-12T10:28:17.057517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T10:28:19.230775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호사업장명소재지전체주소소재지전화
번호1.0001.0001.0001.000
사업장명1.0001.0001.0001.000
소재지전체주소1.0001.0001.0001.000
소재지전화1.0001.0001.0001.000

Missing values

2023-12-12T10:28:17.192972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:28:17.300409image/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

번호사업장명소재지전체주소소재지전화비고
01미래건설인력컨설팅전라남도 고흥군 봉래면 예내리 491호 13통<NA><NA>
12고흥인력전라남도 고흥군 도양읍 봉암리 3101번지 1통061-843-4477<NA>
23가가가우주인력전라남도 고흥군 고흥읍 남계리 878번지 2호061-834-9300<NA>
34흥양 인력소개 사업소전라남도 고흥군 포두면 상대리 7번지 9호<NA><NA>
45도양개미인력전라남도 고흥군 도양읍 봉암리 3264번지<NA><NA>
56고흥해피인력소개소전라남도 고흥군 고흥읍 서문리 229번지 17호061-835-6333<NA>
67동강인력사무소전라남도 고흥군 동강면 유둔리 598번지 1호<NA><NA>
78대흥인력전라남도 고흥군 금산면 석정리 610번지 3호<NA><NA>
89플러스인력전라남도 고흥군 고흥읍 등암리 1150번지 1호<NA><NA>
910고흥탑인력전라남도 고흥군 고흥읍 남계리 1038번지<NA><NA>
번호사업장명소재지전체주소소재지전화비고
1112고흥녹동성실인력전라남도 고흥군 도양읍 봉암리 3392번지<NA><NA>
1213영육사랑복지센터전라남도 고흥군 두원면 학곡리 49-3<NA><NA>
1314아시아 인력전라남도 고흥군 도양읍 봉암리 2060-7 소매점<NA><NA>
1415녹동88인력전라남도 고흥군 도양읍 봉암리 2695번지 38호<NA><NA>
1516팔영인력전라남도 고흥군 동강면 유둔리 199-25<NA><NA>
1617고흥과역인력전라남도 고흥군 과역면 과역리 161번지 4호<NA><NA>
1718산지인력전라남도 고흥군 고흥읍 남계리 420번지 1호 사무소<NA><NA>
1819이남식직업소개소전라남도 고흥군 도양읍 봉암리 1886호 19통 6반<NA><NA>
1920워크 세어링전라남도 고흥군 고흥읍 옥하리 209번지 4호<NA><NA>
2021거금인력전라남도 고흥군 금산면 대흥리 736 상가<NA><NA>