Overview

Dataset statistics

Number of variables5
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.0 KiB
Average record size in memory46.7 B

Variable types

Numeric1
Text4

Dataset

Description인천광역시 서구 동 행정복지센터 현황에 대한 데이터로 연번, 관할동, 도로명주소, 전화번호, 팩스번호 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15102162/fileData.do

Alerts

연번 has unique valuesUnique
관할동 has unique valuesUnique
도로명주소 has unique valuesUnique
전화번호 has unique valuesUnique
팩스번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:21:41.460756
Analysis finished2023-12-12 23:21:41.872286
Duration0.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12
Minimum1
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-13T08:21:41.927685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.1
Q16.5
median12
Q317.5
95-th percentile21.9
Maximum23
Range22
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.78233
Coefficient of variation (CV)0.56519417
Kurtosis-1.2
Mean12
Median Absolute Deviation (MAD)6
Skewness0
Sum276
Variance46
MonotonicityStrictly increasing
2023-12-13T08:21:42.018940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 1
 
4.3%
2 1
 
4.3%
23 1
 
4.3%
22 1
 
4.3%
21 1
 
4.3%
20 1
 
4.3%
19 1
 
4.3%
18 1
 
4.3%
17 1
 
4.3%
16 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
1 1
4.3%
2 1
4.3%
3 1
4.3%
4 1
4.3%
5 1
4.3%
6 1
4.3%
7 1
4.3%
8 1
4.3%
9 1
4.3%
10 1
4.3%
ValueCountFrequency (%)
23 1
4.3%
22 1
4.3%
21 1
4.3%
20 1
4.3%
19 1
4.3%
18 1
4.3%
17 1
4.3%
16 1
4.3%
15 1
4.3%
14 1
4.3%

관할동
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-13T08:21:42.174928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.9130435
Min length3

Characters and Unicode

Total characters90
Distinct characters36
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

Unique23 ?
Unique (%)100.0%

Sample

1st row검암경서동
2nd row연희동
3rd row청라1동
4th row청라2동
5th row청라3동
ValueCountFrequency (%)
검암경서동 1
 
4.3%
가좌1동 1
 
4.3%
마전동 1
 
4.3%
오류왕길동 1
 
4.3%
당하동 1
 
4.3%
원당동 1
 
4.3%
불로대곡동 1
 
4.3%
검단동 1
 
4.3%
가좌4동 1
 
4.3%
가좌3동 1
 
4.3%
Other values (13) 13
56.5%
2023-12-13T08:21:42.491607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 23
25.6%
가 7
 
7.8%
좌 4
 
4.4%
라 4
 
4.4%
1 4
 
4.4%
2 4
 
4.4%
3 4
 
4.4%
석 3
 
3.3%
정 3
 
3.3%
남 3
 
3.3%
Other values (26) 31
34.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 77
85.6%
Decimal Number 13
 
14.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 23
29.9%
가 7
 
9.1%
좌 4
 
5.2%
라 4
 
5.2%
석 3
 
3.9%
정 3
 
3.9%
남 3
 
3.9%
청 3
 
3.9%
당 2
 
2.6%
원 2
 
2.6%
Other values (22) 23
29.9%
Decimal Number
ValueCountFrequency (%)
1 4
30.8%
2 4
30.8%
3 4
30.8%
4 1
 
7.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 77
85.6%
Common 13
 
14.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 23
29.9%
가 7
 
9.1%
좌 4
 
5.2%
라 4
 
5.2%
석 3
 
3.9%
정 3
 
3.9%
남 3
 
3.9%
청 3
 
3.9%
당 2
 
2.6%
원 2
 
2.6%
Other values (22) 23
29.9%
Common
ValueCountFrequency (%)
1 4
30.8%
2 4
30.8%
3 4
30.8%
4 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 77
85.6%
ASCII 13
 
14.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 23
29.9%
가 7
 
9.1%
좌 4
 
5.2%
라 4
 
5.2%
석 3
 
3.9%
정 3
 
3.9%
남 3
 
3.9%
청 3
 
3.9%
당 2
 
2.6%
원 2
 
2.6%
Other values (22) 23
29.9%
ASCII
ValueCountFrequency (%)
1 4
30.8%
2 4
30.8%
3 4
30.8%
4 1
 
7.7%

도로명주소
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-13T08:21:42.707770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length26
Mean length23.565217
Min length16

Characters and Unicode

Total characters542
Distinct characters76
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row인천광역시 서구 승학로 480 (검암동)
2nd row인천광역시 서구 간촌로 12 (연희동)
3rd row인천광역시 서구 청라라임로 58(청라동)
4th row인천광역시 서구 청라커낼로 269 (청라동)
5th row인천광역시 서구 청라한내로 89 (청라동)
ValueCountFrequency (%)
서구 23
21.1%
인천광역시 22
20.2%
가좌동 4
 
3.7%
석남동 3
 
2.8%
4 2
 
1.8%
청라동 2
 
1.8%
14(마전동 2
 
1.8%
4층(원당동 1
 
0.9%
검단로 1
 
0.9%
가정로112번길 1
 
0.9%
Other values (48) 48
44.0%
2023-12-13T08:21:43.086114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
86
 
15.9%
서 26
 
4.8%
로 24
 
4.4%
인 23
 
4.2%
시 23
 
4.2%
구 23
 
4.2%
천 23
 
4.2%
광 22
 
4.1%
역 22
 
4.1%
( 21
 
3.9%
Other values (66) 249
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 328
60.5%
Space Separator 86
 
15.9%
Decimal Number 83
 
15.3%
Open Punctuation 21
 
3.9%
Close Punctuation 21
 
3.9%
Other Punctuation 2
 
0.4%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 26
 
7.9%
로 24
 
7.3%
인 23
 
7.0%
시 23
 
7.0%
구 23
 
7.0%
천 23
 
7.0%
광 22
 
6.7%
역 22
 
6.7%
동 21
 
6.4%
길 12
 
3.7%
Other values (51) 109
33.2%
Decimal Number
ValueCountFrequency (%)
1 19
22.9%
4 12
14.5%
2 11
13.3%
0 9
10.8%
9 7
 
8.4%
6 5
 
6.0%
7 5
 
6.0%
5 5
 
6.0%
3 5
 
6.0%
8 5
 
6.0%
Space Separator
ValueCountFrequency (%)
86
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 328
60.5%
Common 214
39.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 26
 
7.9%
로 24
 
7.3%
인 23
 
7.0%
시 23
 
7.0%
구 23
 
7.0%
천 23
 
7.0%
광 22
 
6.7%
역 22
 
6.7%
동 21
 
6.4%
길 12
 
3.7%
Other values (51) 109
33.2%
Common
ValueCountFrequency (%)
86
40.2%
( 21
 
9.8%
) 21
 
9.8%
1 19
 
8.9%
4 12
 
5.6%
2 11
 
5.1%
0 9
 
4.2%
9 7
 
3.3%
6 5
 
2.3%
7 5
 
2.3%
Other values (5) 18
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 328
60.5%
ASCII 214
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
86
40.2%
( 21
 
9.8%
) 21
 
9.8%
1 19
 
8.9%
4 12
 
5.6%
2 11
 
5.1%
0 9
 
4.2%
9 7
 
3.3%
6 5
 
2.3%
7 5
 
2.3%
Other values (5) 18
 
8.4%
Hangul
ValueCountFrequency (%)
서 26
 
7.9%
로 24
 
7.3%
인 23
 
7.0%
시 23
 
7.0%
구 23
 
7.0%
천 23
 
7.0%
광 22
 
6.7%
역 22
 
6.7%
동 21
 
6.4%
길 12
 
3.7%
Other values (51) 109
33.2%

전화번호
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-13T08:21:43.285727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters276
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

Unique23 ?
Unique (%)100.0%

Sample

1st row032-718-3520
2nd row032-718-3560
3rd row032-718-3600
4th row032-718-3640
5th row032-718-3680
ValueCountFrequency (%)
032-718-3520 1
 
4.3%
032-718-5120 1
 
4.3%
032-718-5480 1
 
4.3%
032-718-5440 1
 
4.3%
032-718-5400 1
 
4.3%
032-718-5360 1
 
4.3%
032-718-5320 1
 
4.3%
032-718-5280 1
 
4.3%
032-718-5240 1
 
4.3%
032-718-5200 1
 
4.3%
Other values (13) 13
56.5%
2023-12-13T08:21:43.692341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 49
17.8%
- 46
16.7%
3 37
13.4%
2 31
11.2%
8 29
10.5%
7 26
9.4%
1 26
9.4%
5 15
 
5.4%
6 7
 
2.5%
4 7
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 230
83.3%
Dash Punctuation 46
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 49
21.3%
3 37
16.1%
2 31
13.5%
8 29
12.6%
7 26
11.3%
1 26
11.3%
5 15
 
6.5%
6 7
 
3.0%
4 7
 
3.0%
9 3
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 276
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 49
17.8%
- 46
16.7%
3 37
13.4%
2 31
11.2%
8 29
10.5%
7 26
9.4%
1 26
9.4%
5 15
 
5.4%
6 7
 
2.5%
4 7
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 276
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 49
17.8%
- 46
16.7%
3 37
13.4%
2 31
11.2%
8 29
10.5%
7 26
9.4%
1 26
9.4%
5 15
 
5.4%
6 7
 
2.5%
4 7
 
2.5%

팩스번호
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-13T08:21:43.931045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters276
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

Unique23 ?
Unique (%)100.0%

Sample

1st row032-718-3539
2nd row032-718-3579
3rd row032-718-3609
4th row032-718-3648
5th row032-718-3689
ValueCountFrequency (%)
032-718-3539 1
 
4.3%
032-718-5129 1
 
4.3%
032-718-5489 1
 
4.3%
032-718-5449 1
 
4.3%
032-718-5409 1
 
4.3%
032-718-5369 1
 
4.3%
032-718-5329 1
 
4.3%
032-718-5299 1
 
4.3%
032-718-5249 1
 
4.3%
032-718-5209 1
 
4.3%
Other values (13) 13
56.5%
2023-12-13T08:21:44.267509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 46
16.7%
3 39
14.1%
2 29
10.5%
7 28
10.1%
8 28
10.1%
9 27
9.8%
0 26
9.4%
1 26
9.4%
5 16
 
5.8%
4 6
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 230
83.3%
Dash Punctuation 46
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 39
17.0%
2 29
12.6%
7 28
12.2%
8 28
12.2%
9 27
11.7%
0 26
11.3%
1 26
11.3%
5 16
7.0%
4 6
 
2.6%
6 5
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 276
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 46
16.7%
3 39
14.1%
2 29
10.5%
7 28
10.1%
8 28
10.1%
9 27
9.8%
0 26
9.4%
1 26
9.4%
5 16
 
5.8%
4 6
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 276
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 46
16.7%
3 39
14.1%
2 29
10.5%
7 28
10.1%
8 28
10.1%
9 27
9.8%
0 26
9.4%
1 26
9.4%
5 16
 
5.8%
4 6
 
2.2%

Interactions

2023-12-13T08:21:41.653898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:21:44.387382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번관할동도로명주소전화번호팩스번호
연번1.0001.0001.0001.0001.000
관할동1.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.000
팩스번호1.0001.0001.0001.0001.000

Missing values

2023-12-13T08:21:41.760827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:21:41.841866image/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

연번관할동도로명주소전화번호팩스번호
01검암경서동인천광역시 서구 승학로 480 (검암동)032-718-3520032-718-3539
12연희동인천광역시 서구 간촌로 12 (연희동)032-718-3560032-718-3579
23청라1동인천광역시 서구 청라라임로 58(청라동)032-718-3600032-718-3609
34청라2동인천광역시 서구 청라커낼로 269 (청라동)032-718-3640032-718-3648
45청라3동인천광역시 서구 청라한내로 89 (청라동)032-718-3680032-718-3689
56가정1동인천광역시 서구 가정로406번길 25032-718-3720032-718-3739
67가정2동인천광역시 서구 서곶로 100032-718-3750032-718-3759
78가정3동인천광역시 서구 서달로179번길 12-16 (가정동)032-718-3790032-718-3799
89신현원창동인천광역시 서구 가정로335번길 3 (신현동)032-718-3840032-718-3859
910석남1동인천광역시 서구 가정로294번길 17 (석남동)032-718-3880032-718-3899
연번관할동도로명주소전화번호팩스번호
1314가좌2동인천광역시 서구 장고개로309번길 4 (가좌동)032-718-5160032-718-5179
1415가좌3동인천광역시 서구 원적로57번길 4 (가좌동)032-718-5200032-718-5209
1516가좌4동인천광역시 서구 장고개로280번길 14 (가좌동)032-718-5240032-718-5249
1617검단동인천광역시 서구 검단로529번길 14(마전동)032-718-5280032-718-5299
1718불로대곡동인천광역시 서구 검단로 814 (불로동)032-718-5320032-718-5329
1819원당동인천광역시 서구 고산로 24 (원당동)032-718-5360032-718-5369
1920당하동인천시 서구 청마로167번길 19(당하동)032-718-5400032-718-5409
2021오류왕길동인천광역시 서구 봉화로 42(왕길동)032-718-5440032-718-5449
2122마전동인천광역시 서구 완정로10번길 14(마전동)032-718-5480032-718-5489
2223아라동인천광역시 서구 바리미로 23, 4층(원당동, 솔보프라자)032-718-5510032-718-5519