Overview

Dataset statistics

Number of variables5
Number of observations95
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 KiB
Average record size in memory42.4 B

Variable types

Text4
Numeric1

Dataset

Description행정기관의 주소 및 전화번호
Author전라북도 고창군
URLhttps://www.data.go.kr/data/15013643/fileData.do

Alerts

기관명 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:36:52.301703
Analysis finished2023-12-11 23:36:53.376559
Duration1.07 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Text

UNIQUE 

Distinct95
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size892.0 B
2023-12-12T08:36:53.581971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length16.136842
Min length9

Characters and Unicode

Total characters1533
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

Unique95 ?
Unique (%)100.0%

Sample

1st row전라북도 고창군청
2nd row전라북도 고창군 생물권보전사업소
3rd row전라북도 고창군 체육청소년사업소
4th row전라북도 고창군 상하수도사업소
5th row전라북도 고창군 환경시설사업소
ValueCountFrequency (%)
전라북도 95
33.2%
고창군 94
32.9%
농업기술센터 3
 
1.0%
부안면농업인상담소 1
 
0.3%
흥덕면농업인상담소 1
 
0.3%
심원면농업인상담소 1
 
0.3%
대산면농업인상담소 1
 
0.3%
성송면농업인상담소 1
 
0.3%
해리면농업인상담소 1
 
0.3%
상하면농업인상담소 1
 
0.3%
Other values (87) 87
30.4%
2023-12-12T08:36:54.050542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
191
 
12.5%
고 105
 
6.8%
창 102
 
6.7%
도 102
 
6.7%
전 99
 
6.5%
군 99
 
6.5%
라 95
 
6.2%
북 95
 
6.2%
소 78
 
5.1%
보 37
 
2.4%
Other values (106) 530
34.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1342
87.5%
Space Separator 191
 
12.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
고 105
 
7.8%
창 102
 
7.6%
도 102
 
7.6%
전 99
 
7.4%
군 99
 
7.4%
라 95
 
7.1%
북 95
 
7.1%
소 78
 
5.8%
보 37
 
2.8%
건 36
 
2.7%
Other values (105) 494
36.8%
Space Separator
ValueCountFrequency (%)
191
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1342
87.5%
Common 191
 
12.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
고 105
 
7.8%
창 102
 
7.6%
도 102
 
7.6%
전 99
 
7.4%
군 99
 
7.4%
라 95
 
7.1%
북 95
 
7.1%
소 78
 
5.8%
보 37
 
2.8%
건 36
 
2.7%
Other values (105) 494
36.8%
Common
ValueCountFrequency (%)
191
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1342
87.5%
ASCII 191
 
12.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
191
100.0%
Hangul
ValueCountFrequency (%)
고 105
 
7.8%
창 102
 
7.6%
도 102
 
7.6%
전 99
 
7.4%
군 99
 
7.4%
라 95
 
7.1%
북 95
 
7.1%
소 78
 
5.8%
보 37
 
2.8%
건 36
 
2.7%
Other values (105) 494
36.8%

도로명주소
Text

Distinct83
Distinct (%)87.4%
Missing0
Missing (%)0.0%
Memory size892.0 B
2023-12-12T08:36:54.440867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length20.463158
Min length18

Characters and Unicode

Total characters1944
Distinct characters107
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

Unique75 ?
Unique (%)78.9%

Sample

1st row전라북도 고창군 고창읍 중앙로 245
2nd row전라북도 고창군 고창읍 고인돌공원 10
3rd row전라북도 고창군 고창읍 운동장길 36
4th row전라북도 고창군 고창읍 중거리당산로 74
5th row전라북도 고창군 아산면 인천강변로 201
ValueCountFrequency (%)
전라북도 95
20.3%
고창군 95
20.3%
고창읍 23
 
4.9%
아산면 8
 
1.7%
부안면 7
 
1.5%
녹두로 7
 
1.5%
심원면 6
 
1.3%
고수면 6
 
1.3%
성내면 6
 
1.3%
무장면 5
 
1.1%
Other values (140) 209
44.8%
2023-12-12T08:36:54.969162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
372
19.1%
고 130
 
6.7%
창 119
 
6.1%
전 99
 
5.1%
군 95
 
4.9%
라 95
 
4.9%
도 95
 
4.9%
북 95
 
4.9%
면 71
 
3.7%
로 61
 
3.1%
Other values (97) 712
36.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1286
66.2%
Space Separator 372
 
19.1%
Decimal Number 266
 
13.7%
Dash Punctuation 20
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
고 130
 
10.1%
창 119
 
9.3%
전 99
 
7.7%
군 95
 
7.4%
라 95
 
7.4%
도 95
 
7.4%
북 95
 
7.4%
면 71
 
5.5%
로 61
 
4.7%
길 33
 
2.6%
Other values (85) 393
30.6%
Decimal Number
ValueCountFrequency (%)
1 49
18.4%
2 39
14.7%
6 31
11.7%
4 27
10.2%
3 24
9.0%
7 21
7.9%
8 20
7.5%
5 19
 
7.1%
0 19
 
7.1%
9 17
 
6.4%
Space Separator
ValueCountFrequency (%)
372
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1286
66.2%
Common 658
33.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
고 130
 
10.1%
창 119
 
9.3%
전 99
 
7.7%
군 95
 
7.4%
라 95
 
7.4%
도 95
 
7.4%
북 95
 
7.4%
면 71
 
5.5%
로 61
 
4.7%
길 33
 
2.6%
Other values (85) 393
30.6%
Common
ValueCountFrequency (%)
372
56.5%
1 49
 
7.4%
2 39
 
5.9%
6 31
 
4.7%
4 27
 
4.1%
3 24
 
3.6%
7 21
 
3.2%
8 20
 
3.0%
- 20
 
3.0%
5 19
 
2.9%
Other values (2) 36
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1286
66.2%
ASCII 658
33.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
372
56.5%
1 49
 
7.4%
2 39
 
5.9%
6 31
 
4.7%
4 27
 
4.1%
3 24
 
3.6%
7 21
 
3.2%
8 20
 
3.0%
- 20
 
3.0%
5 19
 
2.9%
Other values (2) 36
 
5.5%
Hangul
ValueCountFrequency (%)
고 130
 
10.1%
창 119
 
9.3%
전 99
 
7.7%
군 95
 
7.4%
라 95
 
7.4%
도 95
 
7.4%
북 95
 
7.4%
면 71
 
5.5%
로 61
 
4.7%
길 33
 
2.6%
Other values (85) 393
30.6%

우편번호
Real number (ℝ)

Distinct41
Distinct (%)43.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56435.042
Minimum56400
Maximum56469
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size987.0 B
2023-12-12T08:36:55.135537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum56400
5-th percentile56400.7
Q156416.5
median56440
Q356452.5
95-th percentile56467.3
Maximum56469
Range69
Interquartile range (IQR)36

Descriptive statistics

Standard deviation21.306734
Coefficient of variation (CV)0.00037754441
Kurtosis-1.2895285
Mean56435.042
Median Absolute Deviation (MAD)20
Skewness-0.10613256
Sum5361329
Variance453.97693
MonotonicityNot monotonic
2023-12-12T08:36:55.284382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
56400 5
 
5.3%
56440 5
 
5.3%
56420 5
 
5.3%
56447 4
 
4.2%
56415 4
 
4.2%
56468 4
 
4.2%
56453 4
 
4.2%
56428 4
 
4.2%
56452 4
 
4.2%
56450 4
 
4.2%
Other values (31) 52
54.7%
ValueCountFrequency (%)
56400 5
5.3%
56401 1
 
1.1%
56402 3
3.2%
56406 2
 
2.1%
56407 1
 
1.1%
56408 1
 
1.1%
56410 3
3.2%
56412 1
 
1.1%
56415 4
4.2%
56416 3
3.2%
ValueCountFrequency (%)
56469 1
 
1.1%
56468 4
4.2%
56467 1
 
1.1%
56465 3
3.2%
56464 1
 
1.1%
56463 1
 
1.1%
56462 1
 
1.1%
56460 3
3.2%
56457 1
 
1.1%
56456 1
 
1.1%

전화번호
Text

Distinct93
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size892.0 B
2023-12-12T08:36:55.548748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.010526
Min length12

Characters and Unicode

Total characters1141
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

Unique91 ?
Unique (%)95.8%

Sample

1st row063-564-2121
2nd row063-560-2687
3rd row063-560-8902
4th row063-560-8962
5th row063-560-2902
ValueCountFrequency (%)
063-560-8065 2
 
2.1%
063-560-8451 2
 
2.1%
063-560-8033 1
 
1.1%
063-560-8032 1
 
1.1%
063-560-8029 1
 
1.1%
063-560-8028 1
 
1.1%
063-560-8027 1
 
1.1%
063-560-8026 1
 
1.1%
063-560-8025 1
 
1.1%
063-560-8024 1
 
1.1%
Other values (83) 83
87.4%
2023-12-12T08:36:55.939826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 217
19.0%
6 206
18.1%
- 190
16.7%
3 118
10.3%
8 118
10.3%
5 115
10.1%
2 45
 
3.9%
1 43
 
3.8%
7 38
 
3.3%
9 28
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 951
83.3%
Dash Punctuation 190
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 217
22.8%
6 206
21.7%
3 118
12.4%
8 118
12.4%
5 115
12.1%
2 45
 
4.7%
1 43
 
4.5%
7 38
 
4.0%
9 28
 
2.9%
4 23
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1141
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 217
19.0%
6 206
18.1%
- 190
16.7%
3 118
10.3%
8 118
10.3%
5 115
10.1%
2 45
 
3.9%
1 43
 
3.8%
7 38
 
3.3%
9 28
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1141
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 217
19.0%
6 206
18.1%
- 190
16.7%
3 118
10.3%
8 118
10.3%
5 115
10.1%
2 45
 
3.9%
1 43
 
3.8%
7 38
 
3.3%
9 28
 
2.5%

팩스번호
Text

Distinct93
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size892.0 B
2023-12-12T08:36:56.197017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.010526
Min length12

Characters and Unicode

Total characters1141
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

Unique91 ?
Unique (%)95.8%

Sample

1st row063-564-9977
2nd row063-560-2739
3rd row063-560-8959
4th row063-560-8999
5th row063-560-2879
ValueCountFrequency (%)
063-560-8959 2
 
2.1%
063-560-8049 2
 
2.1%
063-560-8033 1
 
1.1%
063-564-9977 1
 
1.1%
063-560-8030 1
 
1.1%
063-560-8029 1
 
1.1%
063-560-8028 1
 
1.1%
063-560-8027 1
 
1.1%
063-560-8026 1
 
1.1%
063-560-8025 1
 
1.1%
Other values (83) 83
87.4%
2023-12-12T08:36:56.625866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 215
18.8%
6 205
18.0%
- 190
16.7%
3 120
10.5%
5 115
10.1%
8 109
9.6%
9 70
 
6.1%
7 40
 
3.5%
2 33
 
2.9%
4 22
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 951
83.3%
Dash Punctuation 190
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 215
22.6%
6 205
21.6%
3 120
12.6%
5 115
12.1%
8 109
11.5%
9 70
 
7.4%
7 40
 
4.2%
2 33
 
3.5%
4 22
 
2.3%
1 22
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1141
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 215
18.8%
6 205
18.0%
- 190
16.7%
3 120
10.5%
5 115
10.1%
8 109
9.6%
9 70
 
6.1%
7 40
 
3.5%
2 33
 
2.9%
4 22
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1141
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 215
18.8%
6 205
18.0%
- 190
16.7%
3 120
10.5%
5 115
10.1%
8 109
9.6%
9 70
 
6.1%
7 40
 
3.5%
2 33
 
2.9%
4 22
 
1.9%

Interactions

2023-12-12T08:36:53.136021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:36:56.760128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관명도로명주소우편번호전화번호팩스번호
기관명1.0001.0001.0001.0001.000
도로명주소1.0001.0001.0000.9980.999
우편번호1.0001.0001.0001.0001.000
전화번호1.0000.9981.0001.0000.997
팩스번호1.0000.9991.0000.9971.000

Missing values

2023-12-12T08:36:53.251369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:36:53.339939image/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

기관명도로명주소우편번호전화번호팩스번호
0전라북도 고창군청전라북도 고창군 고창읍 중앙로 24556428063-564-2121063-564-9977
1전라북도 고창군 생물권보전사업소전라북도 고창군 고창읍 고인돌공원 1056433063-560-2687063-560-2739
2전라북도 고창군 체육청소년사업소전라북도 고창군 고창읍 운동장길 3656450063-560-8902063-560-8959
3전라북도 고창군 상하수도사업소전라북도 고창군 고창읍 중거리당산로 7456448063-560-8962063-560-8999
4전라북도 고창군 환경시설사업소전라북도 고창군 아산면 인천강변로 20156452063-560-2902063-560-2879
5전라북도 고창군 문화시설사업소전라북도 고창군 고창읍 모양성로 1156441063-560-2443063-560-8049
6전라북도 고창군 고창읍사무소전라북도 고창군 고창읍 모양성로 2656432063-560-8111063-560-8129
7전라북도 고창군 고수면사무소전라북도 고창군 고수면 고인돌대로 141256447063-560-8151063-560-8159
8전라북도 고창군 아산면사무소전라북도 고창군 아산면 녹두로 78656453063-560-8181063-560-8189
9전라북도 고창군 무장면사무소전라북도 고창군 무장면 녹두로 856455063-560-8211063-560-8219
기관명도로명주소우편번호전화번호팩스번호
85전라북도 고창군 군립미술관전라북도 고창군 고창읍 동리로10056440063-560-8057063-560-8057
86전라북도 고창군 미당시문학관전라북도 고창군 부안면 질마재로2-856418063-560-8058063-560-8039
87전라북도 고창군 선운초소문확관전라북도 고창군 아산면 선운사로158-256452063-560-8685063-560-8685
88전라북도 고창군 고창군립도서관전라북도 고창군 고창읍 모양성로 1156441063-560-2420063-560-8060
89전라북도 고창군 고창군립성호도서관전라북도 고창군 고창읍 모양성로 5056428063-561-2421063-560-8059
90전라북도 고창군 고수해마루작은도서관전라북도 고창군 고수면 고수로 18-556447063-561-2726063-561-2726
91전라북도 고창군 아산선운산작은도서관전라북도 고창군 아산면 녹두로 78656453063-561-1521063-561-1521
92전라북도 고창군 대산큰별작은도서관전라북도 고창군 대산면 시장길 19-256468063-564-1521063-564-1521
93전라북도 고창군 무장글샘작은도서관전라북도 고창군 무장면 녹두로 856455063-561-2780063-561-2780
94전라북도 고창군 국민체육센터전라북도 고창군 심원면 연화1길 1256400063-560-8390063-560-8390