Overview

Dataset statistics

Number of variables4
Number of observations42
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory36.1 B

Variable types

Numeric1
Text2
DateTime1

Dataset

Description인천광역시 계양구 부서별 팩스번호에 대한 데이터로, 실, 과 및 보건소, 의회사무국, 동 행정복지센터의 팩스번호를 제공합니다.
Author인천광역시 계양구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15062455&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일 has constant value ""Constant
순번 has unique valuesUnique
부서 has unique valuesUnique

Reproduction

Analysis started2024-01-28 12:38:57.998881
Analysis finished2024-01-28 12:38:58.301871
Duration0.3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.5
Minimum1
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-01-28T21:38:58.369424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.05
Q111.25
median21.5
Q331.75
95-th percentile39.95
Maximum42
Range41
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation12.267844
Coefficient of variation (CV)0.5705974
Kurtosis-1.2
Mean21.5
Median Absolute Deviation (MAD)10.5
Skewness0
Sum903
Variance150.5
MonotonicityStrictly increasing
2024-01-28T21:38:58.756624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
1 1
 
2.4%
33 1
 
2.4%
25 1
 
2.4%
26 1
 
2.4%
27 1
 
2.4%
28 1
 
2.4%
29 1
 
2.4%
30 1
 
2.4%
31 1
 
2.4%
32 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
1 1
2.4%
2 1
2.4%
3 1
2.4%
4 1
2.4%
5 1
2.4%
6 1
2.4%
7 1
2.4%
8 1
2.4%
9 1
2.4%
10 1
2.4%
ValueCountFrequency (%)
42 1
2.4%
41 1
2.4%
40 1
2.4%
39 1
2.4%
38 1
2.4%
37 1
2.4%
36 1
2.4%
35 1
2.4%
34 1
2.4%
33 1
2.4%

부서
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-01-28T21:38:58.948473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length4.6666667
Min length3

Characters and Unicode

Total characters196
Distinct characters82
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

Unique42 ?
Unique (%)100.0%

Sample

1st row기획예산실
2nd row감사실
3rd row자치행정과
4th row홍보미디어실
5th row문화체육관광과
ValueCountFrequency (%)
기획예산실 1
 
2.4%
효성1동 1
 
2.4%
계양2동 1
 
2.4%
공영개발과 1
 
2.4%
의회사무국 1
 
2.4%
감염병관리과 1
 
2.4%
건강증진과 1
 
2.4%
지역보건과 1
 
2.4%
치매관리과 1
 
2.4%
장기보건지소 1
 
2.4%
Other values (32) 32
76.2%
2024-01-28T21:38:59.260383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 25
 
12.8%
동 12
 
6.1%
지 7
 
3.6%
계 7
 
3.6%
1 5
 
2.6%
산 5
 
2.6%
2 5
 
2.6%
공 4
 
2.0%
무 4
 
2.0%
건 4
 
2.0%
Other values (72) 118
60.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 183
93.4%
Decimal Number 13
 
6.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 25
 
13.7%
동 12
 
6.6%
지 7
 
3.8%
계 7
 
3.8%
산 5
 
2.7%
공 4
 
2.2%
무 4
 
2.2%
건 4
 
2.2%
보 4
 
2.2%
정 4
 
2.2%
Other values (68) 107
58.5%
Decimal Number
ValueCountFrequency (%)
1 5
38.5%
2 5
38.5%
3 2
 
15.4%
4 1
 
7.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 183
93.4%
Common 13
 
6.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 25
 
13.7%
동 12
 
6.6%
지 7
 
3.8%
계 7
 
3.8%
산 5
 
2.7%
공 4
 
2.2%
무 4
 
2.2%
건 4
 
2.2%
보 4
 
2.2%
정 4
 
2.2%
Other values (68) 107
58.5%
Common
ValueCountFrequency (%)
1 5
38.5%
2 5
38.5%
3 2
 
15.4%
4 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 183
93.4%
ASCII 13
 
6.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 25
 
13.7%
동 12
 
6.6%
지 7
 
3.8%
계 7
 
3.8%
산 5
 
2.7%
공 4
 
2.2%
무 4
 
2.2%
건 4
 
2.2%
보 4
 
2.2%
정 4
 
2.2%
Other values (68) 107
58.5%
ASCII
ValueCountFrequency (%)
1 5
38.5%
2 5
38.5%
3 2
 
15.4%
4 1
 
7.7%

팩스번호
Text

Distinct40
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-01-28T21:38:59.446603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters504
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

Unique39 ?
Unique (%)92.9%

Sample

1st row032-551-5713
2nd row032-551-5714
3rd row032-551-5715
4th row032-555-6236
5th row032-555-6237
ValueCountFrequency (%)
032-551-5772 3
 
7.1%
032-551-5713 1
 
2.4%
032-541-6809 1
 
2.4%
032-551-5714 1
 
2.4%
032-551-5745 1
 
2.4%
032-541-9739 1
 
2.4%
032-546-0172 1
 
2.4%
032-541-6020 1
 
2.4%
032-541-7801 1
 
2.4%
032-541-1563 1
 
2.4%
Other values (30) 30
71.4%
2024-01-28T21:38:59.729916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 102
20.2%
- 84
16.7%
2 57
11.3%
3 54
10.7%
1 52
10.3%
0 49
9.7%
7 38
 
7.5%
4 34
 
6.7%
6 20
 
4.0%
8 7
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 420
83.3%
Dash Punctuation 84
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 102
24.3%
2 57
13.6%
3 54
12.9%
1 52
12.4%
0 49
11.7%
7 38
 
9.0%
4 34
 
8.1%
6 20
 
4.8%
8 7
 
1.7%
9 7
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 84
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 504
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 102
20.2%
- 84
16.7%
2 57
11.3%
3 54
10.7%
1 52
10.3%
0 49
9.7%
7 38
 
7.5%
4 34
 
6.7%
6 20
 
4.0%
8 7
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 504
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 102
20.2%
- 84
16.7%
2 57
11.3%
3 54
10.7%
1 52
10.3%
0 49
9.7%
7 38
 
7.5%
4 34
 
6.7%
6 20
 
4.0%
8 7
 
1.4%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
Minimum2023-05-02 00:00:00
Maximum2023-05-02 00:00:00
2024-01-28T21:38:59.836520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:38:59.912970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-28T21:38:58.124118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T21:38:59.971924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번부서팩스번호
순번1.0001.0001.000
부서1.0001.0001.000
팩스번호1.0001.0001.000

Missing values

2024-01-28T21:38:58.208358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T21:38:58.274879image/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

순번부서팩스번호데이터기준일
01기획예산실032-551-57132023-05-02
12감사실032-551-57142023-05-02
23자치행정과032-551-57152023-05-02
34홍보미디어실032-555-62362023-05-02
45문화체육관광과032-555-62372023-05-02
56평생교육과032-551-57172023-05-02
67민원여권과032-551-57182023-05-02
78재무과032-551-57282023-05-02
89지역경제과032-551-57462023-05-02
910일자리정책과032-555-71462023-05-02
순번부서팩스번호데이터기준일
3233계산1동032-541-69722023-05-02
3334계산2동032-541-16472023-05-02
3435계산3동032-541-34142023-05-02
3536계산4동032-541-46752023-05-02
3637작전1동032-541-46762023-05-02
3738작전2동032-541-33512023-05-02
3839작전서운동032-541-27622023-05-02
3940계양1동032-547-43682023-05-02
4041계양2동032-541-58952023-05-02
4142계양3동032-541-56762023-05-02