Overview

Dataset statistics

Number of variables5
Number of observations25
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory46.3 B

Variable types

Numeric1
Categorical1
Text3

Dataset

Description대전광역시 서구 관내에 있는 구청 동행정복지센터의 데이터(자치단체명, 기관명, 주소, 전화번호)를 제공합니다.
Author대전광역시 서구
URLhttps://www.data.go.kr/data/15013674/fileData.do

Alerts

자치단체명 has constant value ""Constant
번호 has unique valuesUnique
기관명 has unique valuesUnique
주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:12:15.271757
Analysis finished2023-12-12 19:12:15.778813
Duration0.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13
Minimum1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T04:12:15.843804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.2
Q17
median13
Q319
95-th percentile23.8
Maximum25
Range24
Interquartile range (IQR)12

Descriptive statistics

Standard deviation7.3598007
Coefficient of variation (CV)0.56613852
Kurtosis-1.2
Mean13
Median Absolute Deviation (MAD)6
Skewness0
Sum325
Variance54.166667
MonotonicityStrictly increasing
2023-12-13T04:12:15.993878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 1
 
4.0%
2 1
 
4.0%
25 1
 
4.0%
24 1
 
4.0%
23 1
 
4.0%
22 1
 
4.0%
21 1
 
4.0%
20 1
 
4.0%
19 1
 
4.0%
18 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
1 1
4.0%
2 1
4.0%
3 1
4.0%
4 1
4.0%
5 1
4.0%
6 1
4.0%
7 1
4.0%
8 1
4.0%
9 1
4.0%
10 1
4.0%
ValueCountFrequency (%)
25 1
4.0%
24 1
4.0%
23 1
4.0%
22 1
4.0%
21 1
4.0%
20 1
4.0%
19 1
4.0%
18 1
4.0%
17 1
4.0%
16 1
4.0%

자치단체명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
대전광역시 서구
25 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대전광역시 서구
2nd row대전광역시 서구
3rd row대전광역시 서구
4th row대전광역시 서구
5th row대전광역시 서구

Common Values

ValueCountFrequency (%)
대전광역시 서구 25
100.0%

Length

2023-12-13T04:12:16.139774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:12:16.257837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대전광역시 25
50.0%
서구 25
50.0%

기관명
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-13T04:12:16.480765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length9.24
Min length3

Characters and Unicode

Total characters231
Distinct characters40
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

Unique25 ?
Unique (%)100.0%

Sample

1st row서구청
2nd row복수동행정복지센터
3rd row도마1동행정복지센터
4th row도마2동행정복지센터
5th row정림동행정복지센터
ValueCountFrequency (%)
서구청 1
 
4.0%
내동행정복지센터 1
 
4.0%
관저2동행정복지센터 1
 
4.0%
관저1동행정복지센터 1
 
4.0%
도안동행정복지센터 1
 
4.0%
가수원동행정복지센터 1
 
4.0%
만년동행정복지센터 1
 
4.0%
월평3동행정복지센터 1
 
4.0%
월평2동행정복지센터 1
 
4.0%
월평1동행정복지센터 1
 
4.0%
Other values (15) 15
60.0%
2023-12-13T04:12:16.841687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
정 26
11.3%
복 25
10.8%
동 24
10.4%
행 24
10.4%
지 24
10.4%
센 24
10.4%
터 24
10.4%
2 5
 
2.2%
1 5
 
2.2%
마 4
 
1.7%
Other values (30) 46
19.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 218
94.4%
Decimal Number 12
 
5.2%
Space Separator 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 26
11.9%
복 25
11.5%
동 24
11.0%
행 24
11.0%
지 24
11.0%
센 24
11.0%
터 24
11.0%
마 4
 
1.8%
평 3
 
1.4%
산 3
 
1.4%
Other values (26) 37
17.0%
Decimal Number
ValueCountFrequency (%)
2 5
41.7%
1 5
41.7%
3 2
 
16.7%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 218
94.4%
Common 13
 
5.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 26
11.9%
복 25
11.5%
동 24
11.0%
행 24
11.0%
지 24
11.0%
센 24
11.0%
터 24
11.0%
마 4
 
1.8%
평 3
 
1.4%
산 3
 
1.4%
Other values (26) 37
17.0%
Common
ValueCountFrequency (%)
2 5
38.5%
1 5
38.5%
3 2
 
15.4%
1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 218
94.4%
ASCII 13
 
5.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
정 26
11.9%
복 25
11.5%
동 24
11.0%
행 24
11.0%
지 24
11.0%
센 24
11.0%
터 24
11.0%
마 4
 
1.8%
평 3
 
1.4%
산 3
 
1.4%
Other values (26) 37
17.0%
ASCII
ValueCountFrequency (%)
2 5
38.5%
1 5
38.5%
3 2
 
15.4%
1
 
7.7%

주소
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-13T04:12:17.073350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length25
Mean length21.68
Min length20

Characters and Unicode

Total characters542
Distinct characters63
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row대전광역시 서구 둔산서로 100(둔산동)
2nd row대전광역시 서구 복수동로 49(복수동)
3rd row대전광역시 서구 도마3길 46(도마동)
4th row대전광역시 서구 도림1길 14(도마동)
5th row대전광역시 서구 정림동로 10(정림동)
ValueCountFrequency (%)
대전광역시 25
25.0%
서구 25
25.0%
둔산서로 2
 
2.0%
흑석1길 1
 
1.0%
247(내동 1
 
1.0%
신갈마로 1
 
1.0%
191(갈마동 1
 
1.0%
대덕대로 1
 
1.0%
147(갈마동 1
 
1.0%
월평서로 1
 
1.0%
Other values (41) 41
41.0%
2023-12-13T04:12:17.431947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
75
 
13.8%
서 28
 
5.2%
대 27
 
5.0%
동 27
 
5.0%
역 26
 
4.8%
광 25
 
4.6%
시 25
 
4.6%
구 25
 
4.6%
전 25
 
4.6%
) 25
 
4.6%
Other values (53) 234
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 342
63.1%
Space Separator 75
 
13.8%
Decimal Number 72
 
13.3%
Close Punctuation 25
 
4.6%
Open Punctuation 25
 
4.6%
Dash Punctuation 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 28
 
8.2%
대 27
 
7.9%
동 27
 
7.9%
역 26
 
7.6%
광 25
 
7.3%
시 25
 
7.3%
구 25
 
7.3%
전 25
 
7.3%
로 21
 
6.1%
산 9
 
2.6%
Other values (39) 104
30.4%
Decimal Number
ValueCountFrequency (%)
1 15
20.8%
2 12
16.7%
4 8
11.1%
3 7
9.7%
7 6
 
8.3%
5 6
 
8.3%
9 5
 
6.9%
6 5
 
6.9%
0 5
 
6.9%
8 3
 
4.2%
Space Separator
ValueCountFrequency (%)
75
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 342
63.1%
Common 200
36.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 28
 
8.2%
대 27
 
7.9%
동 27
 
7.9%
역 26
 
7.6%
광 25
 
7.3%
시 25
 
7.3%
구 25
 
7.3%
전 25
 
7.3%
로 21
 
6.1%
산 9
 
2.6%
Other values (39) 104
30.4%
Common
ValueCountFrequency (%)
75
37.5%
) 25
 
12.5%
( 25
 
12.5%
1 15
 
7.5%
2 12
 
6.0%
4 8
 
4.0%
3 7
 
3.5%
7 6
 
3.0%
5 6
 
3.0%
9 5
 
2.5%
Other values (4) 16
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 342
63.1%
ASCII 200
36.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
75
37.5%
) 25
 
12.5%
( 25
 
12.5%
1 15
 
7.5%
2 12
 
6.0%
4 8
 
4.0%
3 7
 
3.5%
7 6
 
3.0%
5 6
 
3.0%
9 5
 
2.5%
Other values (4) 16
 
8.0%
Hangul
ValueCountFrequency (%)
서 28
 
8.2%
대 27
 
7.9%
동 27
 
7.9%
역 26
 
7.6%
광 25
 
7.3%
시 25
 
7.3%
구 25
 
7.3%
전 25
 
7.3%
로 21
 
6.1%
산 9
 
2.6%
Other values (39) 104
30.4%

전화번호
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-13T04:12:17.639338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters300
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

Unique25 ?
Unique (%)100.0%

Sample

1st row042-288-2114
2nd row042-288-5000
3rd row042-288-5030
4th row042-288-5060
5th row042-288-5090
ValueCountFrequency (%)
042-288-2114 1
 
4.0%
042-288-5360 1
 
4.0%
042-288-5630 1
 
4.0%
042-288-5600 1
 
4.0%
042-288-5690 1
 
4.0%
042-288-5570 1
 
4.0%
042-288-5540 1
 
4.0%
042-288-5510 1
 
4.0%
042-288-5480 1
 
4.0%
042-288-5450 1
 
4.0%
Other values (15) 15
60.0%
2023-12-13T04:12:18.022781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 56
18.7%
2 56
18.7%
8 52
17.3%
- 50
16.7%
4 31
10.3%
5 29
9.7%
1 7
 
2.3%
3 7
 
2.3%
6 7
 
2.3%
9 3
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 250
83.3%
Dash Punctuation 50
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 56
22.4%
2 56
22.4%
8 52
20.8%
4 31
12.4%
5 29
11.6%
1 7
 
2.8%
3 7
 
2.8%
6 7
 
2.8%
9 3
 
1.2%
7 2
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 300
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 56
18.7%
2 56
18.7%
8 52
17.3%
- 50
16.7%
4 31
10.3%
5 29
9.7%
1 7
 
2.3%
3 7
 
2.3%
6 7
 
2.3%
9 3
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 300
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 56
18.7%
2 56
18.7%
8 52
17.3%
- 50
16.7%
4 31
10.3%
5 29
9.7%
1 7
 
2.3%
3 7
 
2.3%
6 7
 
2.3%
9 3
 
1.0%

Interactions

2023-12-13T04:12:15.503867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:12:18.148752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호기관명주소전화번호
번호1.0001.0001.0001.000
기관명1.0001.0001.0001.000
주소1.0001.0001.0001.000
전화번호1.0001.0001.0001.000

Missing values

2023-12-13T04:12:15.625121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:12:15.737787image/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

번호자치단체명기관명주소전화번호
01대전광역시 서구서구청대전광역시 서구 둔산서로 100(둔산동)042-288-2114
12대전광역시 서구복수동행정복지센터대전광역시 서구 복수동로 49(복수동)042-288-5000
23대전광역시 서구도마1동행정복지센터대전광역시 서구 도마3길 46(도마동)042-288-5030
34대전광역시 서구도마2동행정복지센터대전광역시 서구 도림1길 14(도마동)042-288-5060
45대전광역시 서구정림동행정복지센터대전광역시 서구 정림동로 10(정림동)042-288-5090
56대전광역시 서구변동행정복지센터대전광역시 서구 중반5길 133(변동)042-288-5120
67대전광역시 서구용문동행정복지센터대전광역시 서구 계룡로 626-1(용문동)042-288-5150
78대전광역시 서구탄방동행정복지센터대전광역시 서구 탄방로7번길 97(탄방동)042-288-5180
89대전광역시 서구둔산1동행정복지센터대전광역시 서구 둔산중로 65(둔산동)042-288-5210
910대전광역시 서구둔산2동행정복지센터대전광역시 서구 둔산서로 80(둔산동)042-288-5240
번호자치단체명기관명주소전화번호
1516대전광역시 서구갈마2동행정복지센터대전광역시 서구 대덕대로 147(갈마동)042-288-5420
1617대전광역시 서구월평1동행정복지센터대전광역시 서구 월평서로 13(월평동)042-288-5450
1718대전광역시 서구월평2동행정복지센터대전광역시 서구 갈마역로 145(월평동)042-288-5480
1819대전광역시 서구월평3동행정복지센터대전광역시 서구 청사로 27-9(월평동)042-288-5510
1920대전광역시 서구만년동행정복지센터대전광역시 서구 만년로 19(만년동)042-288-5540
2021대전광역시 서구가수원동행정복지센터대전광역시 서구 가수원로 105(가수원동)042-288-5570
2122대전광역시 서구도안동행정복지센터대전광역시 서구 원도안로242번길 33(도안동)042-288-5690
2223대전광역시 서구관저1동행정복지센터대전광역시 서구 관저북로 24(관저동)042-288-5600
2324대전광역시 서구관저2동행정복지센터대전광역시 서구 관저중로 82(관저동)042-288-5630
2425대전광역시 서구기성동행정복지센터대전광역시 서구 흑석1길 16(흑석동)042-288-5660