Overview

Dataset statistics

Number of variables4
Number of observations80
Missing cells72
Missing cells (%)22.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory34.6 B

Variable types

Numeric1
Text3

Dataset

Description인천광역시 미추홀구 부서별 팩스번호에 대한 데이터로 연번, 부서명, 전자팩스 번호 등의 정보를 제공하고 있습니다.
URLhttps://www.data.go.kr/data/15117519/fileData.do

Alerts

세부사항 has 72 (90.0%) missing valuesMissing
연번 has unique valuesUnique
전자팩스 번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:58:29.968240
Analysis finished2023-12-12 20:58:30.469693
Duration0.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.5
Minimum1
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2023-12-13T05:58:30.549279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.95
Q120.75
median40.5
Q360.25
95-th percentile76.05
Maximum80
Range79
Interquartile range (IQR)39.5

Descriptive statistics

Standard deviation23.2379
Coefficient of variation (CV)0.57377531
Kurtosis-1.2
Mean40.5
Median Absolute Deviation (MAD)20
Skewness0
Sum3240
Variance540
MonotonicityStrictly increasing
2023-12-13T05:58:30.733801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.2%
42 1
 
1.2%
60 1
 
1.2%
59 1
 
1.2%
58 1
 
1.2%
57 1
 
1.2%
56 1
 
1.2%
55 1
 
1.2%
54 1
 
1.2%
53 1
 
1.2%
Other values (70) 70
87.5%
ValueCountFrequency (%)
1 1
1.2%
2 1
1.2%
3 1
1.2%
4 1
1.2%
5 1
1.2%
6 1
1.2%
7 1
1.2%
8 1
1.2%
9 1
1.2%
10 1
1.2%
ValueCountFrequency (%)
80 1
1.2%
79 1
1.2%
78 1
1.2%
77 1
1.2%
76 1
1.2%
75 1
1.2%
74 1
1.2%
73 1
1.2%
72 1
1.2%
71 1
1.2%

부서명
Text

Distinct63
Distinct (%)78.8%
Missing0
Missing (%)0.0%
Memory size772.0 B
2023-12-13T05:58:31.032531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5.125
Min length3

Characters and Unicode

Total characters410
Distinct characters105
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

Unique49 ?
Unique (%)61.3%

Sample

1st row기획예산실
2nd row스마트정책실
3rd row미디어홍보실
4th row미디어홍보실
5th row미디어홍보실
ValueCountFrequency (%)
주안 8
 
7.9%
용현 4
 
4.0%
2동 4
 
4.0%
숭의 3
 
3.0%
자동차관리과 3
 
3.0%
1동 3
 
3.0%
미디어홍보실 3
 
3.0%
민원여권과 3
 
3.0%
재무과 2
 
2.0%
3동 2
 
2.0%
Other values (51) 66
65.3%
2023-12-13T05:58:31.442291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 49
 
12.0%
동 26
 
6.3%
21
 
5.1%
정 12
 
2.9%
보 11
 
2.7%
안 10
 
2.4%
주 9
 
2.2%
시 7
 
1.7%
건 7
 
1.7%
무 7
 
1.7%
Other values (95) 251
61.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 362
88.3%
Decimal Number 24
 
5.9%
Space Separator 21
 
5.1%
Other Punctuation 3
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 49
 
13.5%
동 26
 
7.2%
정 12
 
3.3%
보 11
 
3.0%
안 10
 
2.8%
주 9
 
2.5%
시 7
 
1.9%
건 7
 
1.9%
무 7
 
1.9%
관 6
 
1.7%
Other values (85) 218
60.2%
Decimal Number
ValueCountFrequency (%)
2 6
25.0%
1 6
25.0%
3 4
16.7%
4 3
12.5%
5 2
 
8.3%
7 1
 
4.2%
6 1
 
4.2%
8 1
 
4.2%
Space Separator
ValueCountFrequency (%)
21
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 362
88.3%
Common 48
 
11.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 49
 
13.5%
동 26
 
7.2%
정 12
 
3.3%
보 11
 
3.0%
안 10
 
2.8%
주 9
 
2.5%
시 7
 
1.9%
건 7
 
1.9%
무 7
 
1.9%
관 6
 
1.7%
Other values (85) 218
60.2%
Common
ValueCountFrequency (%)
21
43.8%
2 6
 
12.5%
1 6
 
12.5%
3 4
 
8.3%
. 3
 
6.2%
4 3
 
6.2%
5 2
 
4.2%
7 1
 
2.1%
6 1
 
2.1%
8 1
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 362
88.3%
ASCII 48
 
11.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 49
 
13.5%
동 26
 
7.2%
정 12
 
3.3%
보 11
 
3.0%
안 10
 
2.8%
주 9
 
2.5%
시 7
 
1.9%
건 7
 
1.9%
무 7
 
1.9%
관 6
 
1.7%
Other values (85) 218
60.2%
ASCII
ValueCountFrequency (%)
21
43.8%
2 6
 
12.5%
1 6
 
12.5%
3 4
 
8.3%
. 3
 
6.2%
4 3
 
6.2%
5 2
 
4.2%
7 1
 
2.1%
6 1
 
2.1%
8 1
 
2.1%

전자팩스 번호
Text

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
2023-12-13T05:58:31.735821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters960
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

Unique80 ?
Unique (%)100.0%

Sample

1st row032-880-4851
2nd row032-880-4129
3rd row032-880-4868
4th row032-880-4602
5th row032-880-7498
ValueCountFrequency (%)
032-880-4851 1
 
1.2%
032-880-4129 1
 
1.2%
032-880-4974 1
 
1.2%
032-880-4935 1
 
1.2%
032-728-6940 1
 
1.2%
032-880-5369 1
 
1.2%
032-880-8734 1
 
1.2%
032-728-6609 1
 
1.2%
032-880-5482 1
 
1.2%
032-728-6799 1
 
1.2%
Other values (70) 70
87.5%
2023-12-13T05:58:32.246009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 180
18.8%
- 160
16.7%
0 148
15.4%
2 116
12.1%
3 94
9.8%
4 67
 
7.0%
7 62
 
6.5%
6 59
 
6.1%
9 43
 
4.5%
5 21
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 800
83.3%
Dash Punctuation 160
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 180
22.5%
0 148
18.5%
2 116
14.5%
3 94
11.8%
4 67
 
8.4%
7 62
 
7.8%
6 59
 
7.4%
9 43
 
5.4%
5 21
 
2.6%
1 10
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 160
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 960
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 180
18.8%
- 160
16.7%
0 148
15.4%
2 116
12.1%
3 94
9.8%
4 67
 
7.0%
7 62
 
6.5%
6 59
 
6.1%
9 43
 
4.5%
5 21
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 960
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 180
18.8%
- 160
16.7%
0 148
15.4%
2 116
12.1%
3 94
9.8%
4 67
 
7.0%
7 62
 
6.5%
6 59
 
6.1%
9 43
 
4.5%
5 21
 
2.2%

세부사항
Text

MISSING 

Distinct8
Distinct (%)100.0%
Missing72
Missing (%)90.0%
Memory size772.0 B
2023-12-13T05:58:32.496322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.25
Min length3

Characters and Unicode

Total characters66
Distinct characters45
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

Unique8 ?
Unique (%)100.0%

Sample

1st row전산정보팀
2nd row통신팀
3rd row재난종합상황실
4th row도서관운영팀
5th row청소년상담복지센터
ValueCountFrequency (%)
전산정보팀 1
10.0%
통신팀 1
10.0%
재난종합상황실 1
10.0%
도서관운영팀 1
10.0%
청소년상담복지센터 1
10.0%
재산관리팀-차량지원실 1
10.0%
여성정책팀 1
10.0%
아동지원팀 1
10.0%
아동보호팀 1
10.0%
드림스타트팀 1
10.0%
2023-12-13T05:58:32.818414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
팀 8
 
12.1%
지 3
 
4.5%
실 2
 
3.0%
원 2
 
3.0%
관 2
 
3.0%
2
 
3.0%
아 2
 
3.0%
동 2
 
3.0%
상 2
 
3.0%
산 2
 
3.0%
Other values (35) 39
59.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 61
92.4%
Space Separator 2
 
3.0%
Other Punctuation 2
 
3.0%
Dash Punctuation 1
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
팀 8
 
13.1%
지 3
 
4.9%
실 2
 
3.3%
원 2
 
3.3%
관 2
 
3.3%
아 2
 
3.3%
동 2
 
3.3%
상 2
 
3.3%
산 2
 
3.3%
재 2
 
3.3%
Other values (32) 34
55.7%
Space Separator
ValueCountFrequency (%)
2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 61
92.4%
Common 5
 
7.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
팀 8
 
13.1%
지 3
 
4.9%
실 2
 
3.3%
원 2
 
3.3%
관 2
 
3.3%
아 2
 
3.3%
동 2
 
3.3%
상 2
 
3.3%
산 2
 
3.3%
재 2
 
3.3%
Other values (32) 34
55.7%
Common
ValueCountFrequency (%)
2
40.0%
, 2
40.0%
- 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 61
92.4%
ASCII 5
 
7.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
팀 8
 
13.1%
지 3
 
4.9%
실 2
 
3.3%
원 2
 
3.3%
관 2
 
3.3%
아 2
 
3.3%
동 2
 
3.3%
상 2
 
3.3%
산 2
 
3.3%
재 2
 
3.3%
Other values (32) 34
55.7%
ASCII
ValueCountFrequency (%)
2
40.0%
, 2
40.0%
- 1
20.0%

Interactions

2023-12-13T05:58:30.170851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:58:32.913439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번부서명전자팩스 번호세부사항
연번1.0000.9941.0001.000
부서명0.9941.0001.0001.000
전자팩스 번호1.0001.0001.0001.000
세부사항1.0001.0001.0001.000

Missing values

2023-12-13T05:58:30.328015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:58:30.430238image/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

연번부서명전자팩스 번호세부사항
01기획예산실032-880-4851<NA>
12스마트정책실032-880-4129<NA>
23미디어홍보실032-880-4868<NA>
34미디어홍보실032-880-4602전산정보팀
45미디어홍보실032-880-7498통신팀
56감사실032-880-4807<NA>
67총무과032-880-4853<NA>
78안전총괄과032-880-7446<NA>
89안전총괄과032-880-4850재난종합상황실
910시민공동체과032-880-4862<NA>
연번부서명전자팩스 번호세부사항
7071학익 1동032-728-6679<NA>
7172학익 2동032-728-6689<NA>
7273주안 1동032-728-6719<NA>
7374주안 2동032-728-6729<NA>
7475주안 3동032-728-6739<NA>
7576주안 4동032-728-6749<NA>
7677주안 5동032-728-6759<NA>
7778주안 6동032-728-6769<NA>
7879주안 7동032-728-6779<NA>
7980주안 8동032-728-6789<NA>