Overview

Dataset statistics

Number of variables5
Number of observations66
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory43.0 B

Variable types

Numeric1
Categorical1
Text2
DateTime1

Dataset

Description인천광역시 서구 부서별 팩스번호에 대한 데이터로 각 부서(과, 보건소, 동 행정복지센터)의 팩스번호를 제공합니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15102263&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일 has constant value ""Constant
순번 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 순번High correlation
순번 has unique valuesUnique
부서 has unique valuesUnique
팩스번호 has unique valuesUnique

Reproduction

Analysis started2024-03-18 05:00:17.146848
Analysis finished2024-03-18 05:00:18.864268
Duration1.72 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.5
Minimum1
Maximum66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2024-03-18T14:00:18.948388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.25
Q117.25
median33.5
Q349.75
95-th percentile62.75
Maximum66
Range65
Interquartile range (IQR)32.5

Descriptive statistics

Standard deviation19.196354
Coefficient of variation (CV)0.57302549
Kurtosis-1.2
Mean33.5
Median Absolute Deviation (MAD)16.5
Skewness0
Sum2211
Variance368.5
MonotonicityStrictly increasing
2024-03-18T14:00:19.106353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.5%
51 1
 
1.5%
37 1
 
1.5%
38 1
 
1.5%
39 1
 
1.5%
40 1
 
1.5%
41 1
 
1.5%
42 1
 
1.5%
43 1
 
1.5%
44 1
 
1.5%
Other values (56) 56
84.8%
ValueCountFrequency (%)
1 1
1.5%
2 1
1.5%
3 1
1.5%
4 1
1.5%
5 1
1.5%
6 1
1.5%
7 1
1.5%
8 1
1.5%
9 1
1.5%
10 1
1.5%
ValueCountFrequency (%)
66 1
1.5%
65 1
1.5%
64 1
1.5%
63 1
1.5%
62 1
1.5%
61 1
1.5%
60 1
1.5%
59 1
1.5%
58 1
1.5%
57 1
1.5%

구분
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Memory size660.0 B
행정복지센터
23 
복지문화국
7 
환경안전국
7 
도시주택국
7 
자치행정국
6 
Other values (5)
16 

Length

Max length6
Median length5
Mean length5.2272727
Min length3

Unique

Unique2 ?
Unique (%)3.0%

Sample

1st row감사담당관
2nd row미래기획실
3rd row미래기획실
4th row미래기획실
5th row미래기획실

Common Values

ValueCountFrequency (%)
행정복지센터 23
34.8%
복지문화국 7
 
10.6%
환경안전국 7
 
10.6%
도시주택국 7
 
10.6%
자치행정국 6
 
9.1%
경제교통국 6
 
9.1%
미래기획실 4
 
6.1%
보건소 4
 
6.1%
감사담당관 1
 
1.5%
검단출장소 1
 
1.5%

Length

2024-03-18T14:00:19.290117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:00:19.457593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
행정복지센터 23
34.8%
복지문화국 7
 
10.6%
환경안전국 7
 
10.6%
도시주택국 7
 
10.6%
자치행정국 6
 
9.1%
경제교통국 6
 
9.1%
미래기획실 4
 
6.1%
보건소 4
 
6.1%
감사담당관 1
 
1.5%
검단출장소 1
 
1.5%

부서
Text

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
2024-03-18T14:00:19.817700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length4.7575758
Min length3

Characters and Unicode

Total characters314
Distinct characters116
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

Unique66 ?
Unique (%)100.0%

Sample

1st row감사담당관
2nd row기획예산담당관
3rd row미래기획단
4th row홍보정책담당관
5th row정보통신담당관
ValueCountFrequency (%)
감사담당관 1
 
1.5%
가정1동 1
 
1.5%
마전동 1
 
1.5%
주택관리과 1
 
1.5%
도시재생과 1
 
1.5%
토지정보과 1
 
1.5%
보건행정과 1
 
1.5%
감염병대응과 1
 
1.5%
건강증진과 1
 
1.5%
치매정신돌봄과 1
 
1.5%
Other values (56) 56
84.8%
2024-03-18T14:00:20.137943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 37
 
11.8%
동 25
 
8.0%
정 13
 
4.1%
관 8
 
2.5%
가 8
 
2.5%
원 7
 
2.2%
지 7
 
2.2%
당 6
 
1.9%
보 5
 
1.6%
1 5
 
1.6%
Other values (106) 193
61.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 299
95.2%
Decimal Number 15
 
4.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 37
 
12.4%
동 25
 
8.4%
정 13
 
4.3%
관 8
 
2.7%
가 8
 
2.7%
원 7
 
2.3%
지 7
 
2.3%
당 6
 
2.0%
보 5
 
1.7%
책 5
 
1.7%
Other values (102) 178
59.5%
Decimal Number
ValueCountFrequency (%)
1 5
33.3%
2 5
33.3%
3 4
26.7%
4 1
 
6.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 299
95.2%
Common 15
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 37
 
12.4%
동 25
 
8.4%
정 13
 
4.3%
관 8
 
2.7%
가 8
 
2.7%
원 7
 
2.3%
지 7
 
2.3%
당 6
 
2.0%
보 5
 
1.7%
책 5
 
1.7%
Other values (102) 178
59.5%
Common
ValueCountFrequency (%)
1 5
33.3%
2 5
33.3%
3 4
26.7%
4 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 299
95.2%
ASCII 15
 
4.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 37
 
12.4%
동 25
 
8.4%
정 13
 
4.3%
관 8
 
2.7%
가 8
 
2.7%
원 7
 
2.3%
지 7
 
2.3%
당 6
 
2.0%
보 5
 
1.7%
책 5
 
1.7%
Other values (102) 178
59.5%
ASCII
ValueCountFrequency (%)
1 5
33.3%
2 5
33.3%
3 4
26.7%
4 1
 
6.7%

팩스번호
Text

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
2024-03-18T14:00:20.334730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters792
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

Unique66 ?
Unique (%)100.0%

Sample

1st row032-560-2705
2nd row032-560-2703
3rd row032-560-2743
4th row032-560-2709
5th row032-560-2719
ValueCountFrequency (%)
032-560-2705 1
 
1.5%
032-718-3739 1
 
1.5%
032-718-5489 1
 
1.5%
032-560-2736 1
 
1.5%
032-560-2749 1
 
1.5%
032-560-2786 1
 
1.5%
032-718-0790 1
 
1.5%
032-718-0791 1
 
1.5%
032-718-0792 1
 
1.5%
032-718-0798 1
 
1.5%
Other values (56) 56
84.8%
2024-03-18T14:00:20.747753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 132
16.7%
0 122
15.4%
2 119
15.0%
3 93
11.7%
7 77
9.7%
5 62
7.8%
6 50
 
6.3%
1 42
 
5.3%
8 40
 
5.1%
9 38
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 660
83.3%
Dash Punctuation 132
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 122
18.5%
2 119
18.0%
3 93
14.1%
7 77
11.7%
5 62
9.4%
6 50
7.6%
1 42
 
6.4%
8 40
 
6.1%
9 38
 
5.8%
4 17
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 132
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 792
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 132
16.7%
0 122
15.4%
2 119
15.0%
3 93
11.7%
7 77
9.7%
5 62
7.8%
6 50
 
6.3%
1 42
 
5.3%
8 40
 
5.1%
9 38
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 792
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 132
16.7%
0 122
15.4%
2 119
15.0%
3 93
11.7%
7 77
9.7%
5 62
7.8%
6 50
 
6.3%
1 42
 
5.3%
8 40
 
5.1%
9 38
 
4.8%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
Minimum2023-06-19 00:00:00
Maximum2023-06-19 00:00:00
2024-03-18T14:00:20.894078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:00:20.973918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-18T14:00:18.584077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T14:00:21.031835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번구분부서팩스번호
순번1.0000.9481.0001.000
구분0.9481.0001.0001.000
부서1.0001.0001.0001.000
팩스번호1.0001.0001.0001.000
2024-03-18T14:00:21.101186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번구분
순번1.0000.587
구분0.5871.000

Missing values

2024-03-18T14:00:18.746792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T14:00:18.830570image/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

순번구분부서팩스번호데이터기준일
01감사담당관감사담당관032-560-27052023-06-19
12미래기획실기획예산담당관032-560-27032023-06-19
23미래기획실미래기획단032-560-27432023-06-19
34미래기획실홍보정책담당관032-560-27092023-06-19
45미래기획실정보통신담당관032-560-27192023-06-19
56자치행정국총무과032-560-27102023-06-19
67자치행정국공동체협치과032-560-27822023-06-19
78자치행정국재무과032-560-27202023-06-19
89자치행정국세무1과032-560-27222023-06-19
910자치행정국세무2과032-560-27232023-06-19
순번구분부서팩스번호데이터기준일
5657행정복지센터가좌2동032-718-51792023-06-19
5758행정복지센터가좌3동032-718-52092023-06-19
5859행정복지센터가좌4동032-718-52492023-06-19
5960행정복지센터검단동032-718-52992023-06-19
6061행정복지센터불로대곡동032-718-53292023-06-19
6162행정복지센터원당동032-718-53692023-06-19
6263행정복지센터당하동032-718-54092023-06-19
6364행정복지센터오류왕길동032-718-54492023-06-19
6465행정복지센터마전동032-718-54892023-06-19
6566행정복지센터아라동032-718-55192023-06-19