Overview

Dataset statistics

Number of variables7
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory63.7 B

Variable types

Numeric2
Text4
DateTime1

Dataset

Description이 데이터는 2023년 9월 13일 기준으로 전라북도 남원시에 있는 행정복지센터에 대하여 주소, 우편번호, 전화번호, fax번호 등에 대한 데이터 입니다.
Author전라북도 남원시
URLhttps://www.data.go.kr/data/15089951/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
읍면동명 has unique valuesUnique
주 소 has unique valuesUnique
우편번호 has unique valuesUnique
전화번호 has unique valuesUnique
Fax번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:48:45.961569
Analysis finished2023-12-12 20:48:46.720817
Duration0.76 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
2023-12-13T05:48:46.783794image/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
2023-12-13T05:48:46.905823image/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%

읍면동명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-13T05:48:47.097371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9565217
Min length2

Characters and Unicode

Total characters68
Distinct characters39
Distinct categories1 ?
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 row운봉읍
2nd row주천면
3rd row수지면
4th row송동면
5th row주생면
ValueCountFrequency (%)
운봉읍 1
 
4.3%
이백면 1
 
4.3%
향교동 1
 
4.3%
왕정동 1
 
4.3%
금동 1
 
4.3%
노암동 1
 
4.3%
죽항동 1
 
4.3%
동충동 1
 
4.3%
산내면 1
 
4.3%
아영면 1
 
4.3%
Other values (13) 13
56.5%
2023-12-13T05:48:47.392296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
면 15
22.1%
동 10
 
14.7%
산 3
 
4.4%
금 2
 
2.9%
주 2
 
2.9%
지 2
 
2.9%
대 2
 
2.9%
아 1
 
1.5%
영 1
 
1.5%
내 1
 
1.5%
Other values (29) 29
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 68
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 15
22.1%
동 10
 
14.7%
산 3
 
4.4%
금 2
 
2.9%
주 2
 
2.9%
지 2
 
2.9%
대 2
 
2.9%
아 1
 
1.5%
영 1
 
1.5%
내 1
 
1.5%
Other values (29) 29
42.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 68
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 15
22.1%
동 10
 
14.7%
산 3
 
4.4%
금 2
 
2.9%
주 2
 
2.9%
지 2
 
2.9%
대 2
 
2.9%
아 1
 
1.5%
영 1
 
1.5%
내 1
 
1.5%
Other values (29) 29
42.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 68
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
면 15
22.1%
동 10
 
14.7%
산 3
 
4.4%
금 2
 
2.9%
주 2
 
2.9%
지 2
 
2.9%
대 2
 
2.9%
아 1
 
1.5%
영 1
 
1.5%
내 1
 
1.5%
Other values (29) 29
42.6%

주 소
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-13T05:48:47.594159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length18.913043
Min length15

Characters and Unicode

Total characters435
Distinct characters82
Distinct categories4 ?
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 row전라북도 남원시 운봉읍 황산로 1083
2nd row전라북도 남원시 주천면 정령치로 61
3rd row전라북도 남원시 수지면 고주로 623-10
4th row전라북도 남원시 송동면 송기길 56
5th row전라북도 남원시 주생면 요천로 821
ValueCountFrequency (%)
전라북도 23
21.3%
남원시 23
21.3%
8 2
 
1.9%
요천로 2
 
1.9%
116 1
 
0.9%
380 1
 
0.9%
신흥2길 1
 
0.9%
17 1
 
0.9%
산동면 1
 
0.9%
2919 1
 
0.9%
Other values (52) 52
48.1%
2023-12-13T05:48:47.939937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
85
19.5%
전 23
 
5.3%
북 23
 
5.3%
도 23
 
5.3%
남 23
 
5.3%
원 23
 
5.3%
시 23
 
5.3%
라 23
 
5.3%
면 15
 
3.4%
1 14
 
3.2%
Other values (72) 160
36.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 287
66.0%
Space Separator 85
 
19.5%
Decimal Number 60
 
13.8%
Dash Punctuation 3
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 23
 
8.0%
북 23
 
8.0%
도 23
 
8.0%
남 23
 
8.0%
원 23
 
8.0%
시 23
 
8.0%
라 23
 
8.0%
면 15
 
5.2%
길 13
 
4.5%
로 10
 
3.5%
Other values (60) 88
30.7%
Decimal Number
ValueCountFrequency (%)
1 14
23.3%
2 8
13.3%
6 8
13.3%
8 7
11.7%
3 6
10.0%
7 5
 
8.3%
0 4
 
6.7%
9 4
 
6.7%
5 3
 
5.0%
4 1
 
1.7%
Space Separator
ValueCountFrequency (%)
85
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 287
66.0%
Common 148
34.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 23
 
8.0%
북 23
 
8.0%
도 23
 
8.0%
남 23
 
8.0%
원 23
 
8.0%
시 23
 
8.0%
라 23
 
8.0%
면 15
 
5.2%
길 13
 
4.5%
로 10
 
3.5%
Other values (60) 88
30.7%
Common
ValueCountFrequency (%)
85
57.4%
1 14
 
9.5%
2 8
 
5.4%
6 8
 
5.4%
8 7
 
4.7%
3 6
 
4.1%
7 5
 
3.4%
0 4
 
2.7%
9 4
 
2.7%
- 3
 
2.0%
Other values (2) 4
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 287
66.0%
ASCII 148
34.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
85
57.4%
1 14
 
9.5%
2 8
 
5.4%
6 8
 
5.4%
8 7
 
4.7%
3 6
 
4.1%
7 5
 
3.4%
0 4
 
2.7%
9 4
 
2.7%
- 3
 
2.0%
Other values (2) 4
 
2.7%
Hangul
ValueCountFrequency (%)
전 23
 
8.0%
북 23
 
8.0%
도 23
 
8.0%
남 23
 
8.0%
원 23
 
8.0%
시 23
 
8.0%
라 23
 
8.0%
면 15
 
5.2%
길 13
 
4.5%
로 10
 
3.5%
Other values (60) 88
30.7%

우편번호
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55754.478
Minimum55700
Maximum55804
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-13T05:48:48.075370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum55700
5-th percentile55702.4
Q155716.5
median55761
Q355786
95-th percentile55801.4
Maximum55804
Range104
Interquartile range (IQR)69.5

Descriptive statistics

Standard deviation36.71991
Coefficient of variation (CV)0.00065860019
Kurtosis-1.5990115
Mean55754.478
Median Absolute Deviation (MAD)32
Skewness-0.22437331
Sum1282353
Variance1348.3518
MonotonicityNot monotonic
2023-12-13T05:48:48.194165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
55718 1
 
4.3%
55802 1
 
4.3%
55755 1
 
4.3%
55741 1
 
4.3%
55746 1
 
4.3%
55777 1
 
4.3%
55796 1
 
4.3%
55771 1
 
4.3%
55761 1
 
4.3%
55804 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
55700 1
4.3%
55702 1
4.3%
55706 1
4.3%
55708 1
4.3%
55712 1
4.3%
55715 1
4.3%
55718 1
4.3%
55722 1
4.3%
55741 1
4.3%
55746 1
4.3%
ValueCountFrequency (%)
55804 1
4.3%
55802 1
4.3%
55796 1
4.3%
55793 1
4.3%
55791 1
4.3%
55788 1
4.3%
55784 1
4.3%
55782 1
4.3%
55779 1
4.3%
55777 1
4.3%

전화번호
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-13T05:48:48.373576image/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 row063-620-3819
2nd row063-620-3839
3rd row063-620-3842
4th row063-620-3879
5th row063-620-3899
ValueCountFrequency (%)
063-620-3819 1
 
4.3%
063-620-4059 1
 
4.3%
063-620-4839 1
 
4.3%
063-620-4819 1
 
4.3%
063-620-4799 1
 
4.3%
063-620-4779 1
 
4.3%
063-620-4759 1
 
4.3%
063-620-4739 1
 
4.3%
063-636-3004 1
 
4.3%
063-620-4099 1
 
4.3%
Other values (13) 13
56.5%
2023-12-13T05:48:48.662664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 52
18.8%
6 47
17.0%
- 46
16.7%
3 40
14.5%
9 30
10.9%
2 23
8.3%
4 14
 
5.1%
8 8
 
2.9%
7 8
 
2.9%
1 4
 
1.4%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 52
22.6%
6 47
20.4%
3 40
17.4%
9 30
13.0%
2 23
10.0%
4 14
 
6.1%
8 8
 
3.5%
7 8
 
3.5%
1 4
 
1.7%
5 4
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 276
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 52
18.8%
6 47
17.0%
- 46
16.7%
3 40
14.5%
9 30
10.9%
2 23
8.3%
4 14
 
5.1%
8 8
 
2.9%
7 8
 
2.9%
1 4
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 276
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 52
18.8%
6 47
17.0%
- 46
16.7%
3 40
14.5%
9 30
10.9%
2 23
8.3%
4 14
 
5.1%
8 8
 
2.9%
7 8
 
2.9%
1 4
 
1.4%

Fax번호
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-13T05:48:48.839266image/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 row063-620-6721
2nd row063-620-6722
3rd row063-620-6723
4th row063-620-6724
5th row063-620-6725
ValueCountFrequency (%)
063-620-6721 1
 
4.3%
063-620-6733 1
 
4.3%
063-620-6742 1
 
4.3%
063-620-6741 1
 
4.3%
063-620-6740 1
 
4.3%
063-620-6739 1
 
4.3%
063-620-6738 1
 
4.3%
063-620-6737 1
 
4.3%
063-620-6736 1
 
4.3%
063-620-6735 1
 
4.3%
Other values (13) 13
56.5%
2023-12-13T05:48:49.140175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 71
25.7%
0 48
17.4%
- 46
16.7%
3 36
13.0%
2 35
12.7%
7 25
 
9.1%
4 6
 
2.2%
1 3
 
1.1%
5 2
 
0.7%
8 2
 
0.7%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 71
30.9%
0 48
20.9%
3 36
15.7%
2 35
15.2%
7 25
 
10.9%
4 6
 
2.6%
1 3
 
1.3%
5 2
 
0.9%
8 2
 
0.9%
9 2
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 276
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 71
25.7%
0 48
17.4%
- 46
16.7%
3 36
13.0%
2 35
12.7%
7 25
 
9.1%
4 6
 
2.2%
1 3
 
1.1%
5 2
 
0.7%
8 2
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 276
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 71
25.7%
0 48
17.4%
- 46
16.7%
3 36
13.0%
2 35
12.7%
7 25
 
9.1%
4 6
 
2.2%
1 3
 
1.1%
5 2
 
0.7%
8 2
 
0.7%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2023-09-13 00:00:00
Maximum2023-09-13 00:00:00
2023-12-13T05:48:49.253974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:48:49.332165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T05:48:46.381957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:48:46.220681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:48:46.466648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:48:46.299783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:48:49.400697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번읍면동명주 소우편번호전화번호Fax번호
연번1.0001.0001.0000.0001.0001.000
읍면동명1.0001.0001.0001.0001.0001.000
주 소1.0001.0001.0001.0001.0001.000
우편번호0.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000
Fax번호1.0001.0001.0001.0001.0001.000
2023-12-13T05:48:49.510468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번우편번호
연번1.000-0.176
우편번호-0.1761.000

Missing values

2023-12-13T05:48:46.572926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:48:46.677814image/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

연번읍면동명주 소우편번호전화번호Fax번호데이터기준일자
01운봉읍전라북도 남원시 운봉읍 황산로 108355718063-620-3819063-620-67212023-09-13
12주천면전라북도 남원시 주천면 정령치로 6155802063-620-3839063-620-67222023-09-13
23수지면전라북도 남원시 수지면 고주로 623-1055791063-620-3842063-620-67232023-09-13
34송동면전라북도 남원시 송동면 송기길 5655793063-620-3879063-620-67242023-09-13
45주생면전라북도 남원시 주생면 요천로 82155782063-620-3899063-620-67252023-09-13
56금지면전라북도 남원시 금지면 금지순환길 917-2755784063-620-3919063-620-67262023-09-13
67대강면전라북도 남원시 대강면 섬진로 86555788063-620-3939063-620-67272023-09-13
78대산면전라북도 남원시 대산면 운교1길 2655779063-620-3959063-620-67282023-09-13
89사매면전라북도 남원시 사매면 오신1길 9-455702063-620-3979063-620-67292023-09-13
910덕과면전라북도 남원시 덕과면 덕과월평길 355700063-620-3999063-620-67302023-09-13
연번읍면동명주 소우편번호전화번호Fax번호데이터기준일자
1314인월면전라북도 남원시 인월면 인월장터로 5355715063-620-4079063-620-67342023-09-13
1415아영면전라북도 남원시 아영면 아백로 38055712063-620-4099063-620-67352023-09-13
1516산내면전라북도 남원시 산내면 대정길 2155804063-636-3004063-620-67362023-09-13
1617동충동전라북도 남원시 향단로 8655761063-620-4739063-620-67372023-09-13
1718죽항동전라북도 남원시 비석길 7255771063-620-4759063-620-67382023-09-13
1819노암동전라북도 남원시 소리길 1055796063-620-4779063-620-67392023-09-13
1920금동전라북도 남원시 가방뜰길 855777063-620-4799063-620-67402023-09-13
2021왕정동전라북도 남원시 성황단길 755746063-620-4819063-620-67412023-09-13
2122향교동전라북도 남원시 동림로 11655741063-620-4839063-620-67422023-09-13
2223도통동전라북도 남원시 역재3길 855755063-620-4859063-620-67432023-09-13