Overview

Dataset statistics

Number of variables6
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory56.3 B

Variable types

Numeric2
Text3
Categorical1

Dataset

Description광주광역시 광산구의 동 행정복지센터의 행정기관 현황 정보(행정복지센터명, 주소, 직원현황, 연락처 등)를 제공합니다.
Author광주광역시 광산구
URLhttps://www.data.go.kr/data/15013792/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
행정복지센터명 has unique valuesUnique
주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-04-29 22:23:49.220881
Analysis finished2024-04-29 22:23:51.509095
Duration2.29 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11
Minimum1
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-30T07:23:51.569589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median11
Q316
95-th percentile20
Maximum21
Range20
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.2048368
Coefficient of variation (CV)0.56407607
Kurtosis-1.2
Mean11
Median Absolute Deviation (MAD)5
Skewness0
Sum231
Variance38.5
MonotonicityStrictly increasing
2024-04-30T07:23:51.690153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1 1
 
4.8%
2 1
 
4.8%
21 1
 
4.8%
20 1
 
4.8%
19 1
 
4.8%
18 1
 
4.8%
17 1
 
4.8%
16 1
 
4.8%
15 1
 
4.8%
14 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
1 1
4.8%
2 1
4.8%
3 1
4.8%
4 1
4.8%
5 1
4.8%
6 1
4.8%
7 1
4.8%
8 1
4.8%
9 1
4.8%
10 1
4.8%
ValueCountFrequency (%)
21 1
4.8%
20 1
4.8%
19 1
4.8%
18 1
4.8%
17 1
4.8%
16 1
4.8%
15 1
4.8%
14 1
4.8%
13 1
4.8%
12 1
4.8%

행정복지센터명
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-04-30T07:23:51.881957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length9.2380952
Min length8

Characters and Unicode

Total characters194
Distinct characters35
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

Unique21 ?
Unique (%)100.0%

Sample

1st row송정1동행정복지센터
2nd row송정2동행정복지센터
3rd row도산동행정복지센터
4th row신흥동행정복지센터
5th row어룡동행정복지센터
ValueCountFrequency (%)
송정1동행정복지센터 1
 
4.8%
신가동행정복지센터 1
 
4.8%
삼도동행정복지센터 1
 
4.8%
평동행정복지센터 1
 
4.8%
동곡동행정복지센터 1
 
4.8%
임곡동행정복지센터 1
 
4.8%
하남동행정복지센터 1
 
4.8%
수완동행정복지센터 1
 
4.8%
신창동행정복지센터 1
 
4.8%
운남동행정복지센터 1
 
4.8%
Other values (11) 11
52.4%
2024-04-30T07:23:52.218542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
정 23
11.9%
동 22
11.3%
행 21
10.8%
복 21
10.8%
지 21
10.8%
센 21
10.8%
터 21
10.8%
곡 4
 
2.1%
1 3
 
1.5%
2 3
 
1.5%
Other values (25) 34
17.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 188
96.9%
Decimal Number 6
 
3.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 23
12.2%
동 22
11.7%
행 21
11.2%
복 21
11.2%
지 21
11.2%
센 21
11.2%
터 21
11.2%
곡 4
 
2.1%
신 3
 
1.6%
송 2
 
1.1%
Other values (23) 29
15.4%
Decimal Number
ValueCountFrequency (%)
1 3
50.0%
2 3
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 188
96.9%
Common 6
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 23
12.2%
동 22
11.7%
행 21
11.2%
복 21
11.2%
지 21
11.2%
센 21
11.2%
터 21
11.2%
곡 4
 
2.1%
신 3
 
1.6%
송 2
 
1.1%
Other values (23) 29
15.4%
Common
ValueCountFrequency (%)
1 3
50.0%
2 3
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 188
96.9%
ASCII 6
 
3.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
정 23
12.2%
동 22
11.7%
행 21
11.2%
복 21
11.2%
지 21
11.2%
센 21
11.2%
터 21
11.2%
곡 4
 
2.1%
신 3
 
1.6%
송 2
 
1.1%
Other values (23) 29
15.4%
ASCII
ValueCountFrequency (%)
1 3
50.0%
2 3
50.0%

주소
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-04-30T07:23:52.412494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length28
Mean length24.428571
Min length21

Characters and Unicode

Total characters513
Distinct characters71
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

Unique21 ?
Unique (%)100.0%

Sample

1st row광주광역시 광산구 광산로 92(송정동)
2nd row광주광역시 광산구 광산로30번길 65(송정동)
3rd row광주광역시 광산구 도산로 12(도산동)
4th row광주광역시 광산구 신흥동안길 9(신촌동)
5th row광주광역시 광산구 선운중앙로67번길 6(선암동)
ValueCountFrequency (%)
광주광역시 21
25.0%
광산구 21
25.0%
목련로382번안길 1
 
1.2%
36-1(신가동 1
 
1.2%
목련로217번길 1
 
1.2%
10(운남동 1
 
1.2%
왕버들로 1
 
1.2%
291(신창동 1
 
1.2%
장덕로 1
 
1.2%
158(수완동 1
 
1.2%
Other values (34) 34
40.5%
2024-04-30T07:23:52.717805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
광 65
 
12.7%
63
 
12.3%
산 29
 
5.7%
동 24
 
4.7%
시 21
 
4.1%
구 21
 
4.1%
주 21
 
4.1%
( 21
 
4.1%
) 21
 
4.1%
역 21
 
4.1%
Other values (61) 206
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 325
63.4%
Decimal Number 77
 
15.0%
Space Separator 63
 
12.3%
Open Punctuation 21
 
4.1%
Close Punctuation 21
 
4.1%
Dash Punctuation 6
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 65
20.0%
산 29
 
8.9%
동 24
 
7.4%
시 21
 
6.5%
구 21
 
6.5%
주 21
 
6.5%
역 21
 
6.5%
로 20
 
6.2%
길 9
 
2.8%
번 8
 
2.5%
Other values (47) 86
26.5%
Decimal Number
ValueCountFrequency (%)
1 16
20.8%
2 12
15.6%
6 9
11.7%
3 8
10.4%
5 6
 
7.8%
7 6
 
7.8%
0 5
 
6.5%
4 5
 
6.5%
8 5
 
6.5%
9 5
 
6.5%
Space Separator
ValueCountFrequency (%)
63
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 325
63.4%
Common 188
36.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 65
20.0%
산 29
 
8.9%
동 24
 
7.4%
시 21
 
6.5%
구 21
 
6.5%
주 21
 
6.5%
역 21
 
6.5%
로 20
 
6.2%
길 9
 
2.8%
번 8
 
2.5%
Other values (47) 86
26.5%
Common
ValueCountFrequency (%)
63
33.5%
( 21
 
11.2%
) 21
 
11.2%
1 16
 
8.5%
2 12
 
6.4%
6 9
 
4.8%
3 8
 
4.3%
- 6
 
3.2%
5 6
 
3.2%
7 6
 
3.2%
Other values (4) 20
 
10.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 325
63.4%
ASCII 188
36.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
광 65
20.0%
산 29
 
8.9%
동 24
 
7.4%
시 21
 
6.5%
구 21
 
6.5%
주 21
 
6.5%
역 21
 
6.5%
로 20
 
6.2%
길 9
 
2.8%
번 8
 
2.5%
Other values (47) 86
26.5%
ASCII
ValueCountFrequency (%)
63
33.5%
( 21
 
11.2%
) 21
 
11.2%
1 16
 
8.5%
2 12
 
6.4%
6 9
 
4.8%
3 8
 
4.3%
- 6
 
3.2%
5 6
 
3.2%
7 6
 
3.2%
Other values (4) 20
 
10.6%

직원현황
Real number (ℝ)

Distinct12
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.238095
Minimum13
Maximum28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-30T07:23:52.824073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile13
Q114
median16
Q319
95-th percentile24
Maximum28
Range15
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.170189
Coefficient of variation (CV)0.24191704
Kurtosis0.68396171
Mean17.238095
Median Absolute Deviation (MAD)3
Skewness1.0350425
Sum362
Variance17.390476
MonotonicityNot monotonic
2024-04-30T07:23:52.921099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
13 5
23.8%
15 2
 
9.5%
18 2
 
9.5%
16 2
 
9.5%
14 2
 
9.5%
19 2
 
9.5%
20 1
 
4.8%
24 1
 
4.8%
17 1
 
4.8%
23 1
 
4.8%
Other values (2) 2
 
9.5%
ValueCountFrequency (%)
13 5
23.8%
14 2
 
9.5%
15 2
 
9.5%
16 2
 
9.5%
17 1
 
4.8%
18 2
 
9.5%
19 2
 
9.5%
20 1
 
4.8%
21 1
 
4.8%
23 1
 
4.8%
ValueCountFrequency (%)
28 1
4.8%
24 1
4.8%
23 1
4.8%
21 1
4.8%
20 1
4.8%
19 2
9.5%
18 2
9.5%
17 1
4.8%
16 2
9.5%
15 2
9.5%

전화번호
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-04-30T07:23:53.093770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters252
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

Unique21 ?
Unique (%)100.0%

Sample

1st row062-960-7606
2nd row062-960-7614
3rd row062-960-7623
4th row062-960-7633
5th row062-960-7644
ValueCountFrequency (%)
062-960-7606 1
 
4.8%
062-960-7746 1
 
4.8%
062-960-7852 1
 
4.8%
062-960-7842 1
 
4.8%
062-960-7836 1
 
4.8%
062-960-7822 1
 
4.8%
062-960-7955 1
 
4.8%
062-960-7793 1
 
4.8%
062-960-7772 1
 
4.8%
062-960-7753 1
 
4.8%
Other values (11) 11
52.4%
2024-04-30T07:23:53.388885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 56
22.2%
0 44
17.5%
- 42
16.7%
2 30
11.9%
7 29
11.5%
9 24
9.5%
3 8
 
3.2%
8 7
 
2.8%
4 6
 
2.4%
5 4
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 210
83.3%
Dash Punctuation 42
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 56
26.7%
0 44
21.0%
2 30
14.3%
7 29
13.8%
9 24
11.4%
3 8
 
3.8%
8 7
 
3.3%
4 6
 
2.9%
5 4
 
1.9%
1 2
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 252
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 56
22.2%
0 44
17.5%
- 42
16.7%
2 30
11.9%
7 29
11.5%
9 24
9.5%
3 8
 
3.2%
8 7
 
2.8%
4 6
 
2.4%
5 4
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 252
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 56
22.2%
0 44
17.5%
- 42
16.7%
2 30
11.9%
7 29
11.5%
9 24
9.5%
3 8
 
3.2%
8 7
 
2.8%
4 6
 
2.4%
5 4
 
1.6%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-04-22
21 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-04-22
2nd row2024-04-22
3rd row2024-04-22
4th row2024-04-22
5th row2024-04-22

Common Values

ValueCountFrequency (%)
2024-04-22 21
100.0%

Length

2024-04-30T07:23:53.505505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:23:53.595773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-04-22 21
100.0%

Interactions

2024-04-30T07:23:51.179358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:23:50.970723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:23:51.265281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:23:51.100896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-30T07:23:53.654413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번행정복지센터명주소직원현황전화번호
연번1.0001.0001.0000.7981.000
행정복지센터명1.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.000
직원현황0.7981.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.000
2024-04-30T07:23:53.739759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번직원현황
연번1.000-0.246
직원현황-0.2461.000

Missing values

2024-04-30T07:23:51.377019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-30T07:23:51.465485image/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

연번행정복지센터명주소직원현황전화번호데이터기준일자
01송정1동행정복지센터광주광역시 광산구 광산로 92(송정동)15062-960-76062024-04-22
12송정2동행정복지센터광주광역시 광산구 광산로30번길 65(송정동)15062-960-76142024-04-22
23도산동행정복지센터광주광역시 광산구 도산로 12(도산동)18062-960-76232024-04-22
34신흥동행정복지센터광주광역시 광산구 신흥동안길 9(신촌동)13062-960-76332024-04-22
45어룡동행정복지센터광주광역시 광산구 선운중앙로67번길 6(선암동)20062-960-76442024-04-22
56우산동행정복지센터광주광역시 광산구 무진대로 246-12(우산동)24062-960-76622024-04-22
67월곡1동행정복지센터광주광역시 광산구 사암로 306(월곡동)17062-960-76722024-04-22
78월곡2동행정복지센터광주광역시 광산구 산정공원로72번길 21-12(월곡동)16062-960-76842024-04-22
89비아동행정복지센터광주광역시 광산구 비아중앙로31번길 8-6(비아동)14062-960-76922024-04-22
910첨단1동행정복지센터광주광역시 광산구 첨단중앙로 160(쌍암동)16062-960-77032024-04-22
연번행정복지센터명주소직원현황전화번호데이터기준일자
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